Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 27
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

A novel method of active noise control using adaptive radiation sound sources is investigated. A finite element model of a modal enclosed sound field is excited harmonically, representing a noise field in the low-frequency range. The control sources are comprised of elementary dipole sources for which the driving signals are adjusted by an optimization method. Two set-up cases of the proposed compound sources are investigated. The coupling of the control sources with the modal sound field is discussed. The simulated performance of the proposed method is compared with that of a system with distributed simple sources and the results show the effectiveness of the sources with adaptive radiation for active noise control in small enclosures.

Go to article

Authors and Affiliations

Marios Giouvanakis
Christos Sevastiadis
George Papanikolaou
Download PDF Download RIS Download Bibtex

Abstract

A gyroscopic rotor exposed to unbalance is studied and controlled with an active piezoelectrical bearing. A model is required in order to design a suited controller. Due to the lack of related publications utilizing piezoelectrical bearings and obtaining a modal model purely exploiting experimental modal analysis, this paper reveals a method to receive a modal model of a gyroscopic rotor system with an active piezoelectrical bearing. The properties of the retrieved model are then incorporated into the design of an originally model-free control approach for unbalance vibration elimination, which consists of a simple feedback control and an adaptive feedforward control. After the discussion on the limitations of the model-free control, a modified controller using the priorly identified modal model is implemented on an elementary rotor test-rig comparing its performance to the original model-free controller.
Go to article

Bibliography

  1.  A.B. Palazzolo, R.R. Lin, R.M. Alexander, A.F. Kascak, and J. Montague, “Test and theory for piezoelectric actuator-active vibration control of rotating machinery,” J. Vib. Acoust., vol.  113, no. 2, 1991. doi: 10.1115/1.2930165.
  2.  R. Köhler, C. Kaletsch, M. Marszolek, and S. Rinderknecht, “Active vibration damping of engine rotor considering piezo electric self heating effects,” in International Symposium on Air Breathing Engines 2011 (ISABE 2011), Gothenburg, Sep. 2011.
  3.  M. Borsdorf, R.S. Schittenhelm, and S. Rinderknecht, “Vibration reduction of a turbofan engine high pressure rotor with piezoelectric stack actuators,” in Proceedings of the International Symposium on Air Breathing Engines 2013 (ISABE 2013), Busan, 2013.
  4.  R.C. Simões, V. Steffen, J. Der Hagopian, and J. Mahfoud, “Modal active vibration control of a rotor using piezoelectric stack actuators,” Vib. Control, vol. 13, no. 1, pp. 45–64, Jan. 2007. doi: 10.1177/1077546306070227.
  5.  B. Riemann, M.A. Sehr, R.S. Schittenhelm, and S. Rinderknecht, “Robust control of flexible high-speed rotors via mixed uncertainties,” in 2013 European Control Conference (ECC). Zürich: IEEE, Jul. 2013, pp. 2343–2350. doi: 10.23919/ ECC.2013.6669786.
  6.  F.B. Becker, M.A. Sehr, and S. Rinderknecht, “Vibration isolation for parameter-varying rotor systems using piezoelectric actuators and gain-scheduled control,” J. Intell. Mater. Syst. Struct., vol. 28, no. 16, pp. 2286–2297, Sep. 2017. doi: 10.1177/1045389X17689933.
  7.  M. Li, T.C. Lim, and W.S. Shepard, “Modeling active vibration control of a geared rotor system,” Smart Mater. Struct., vol.  13, no. 3, pp. 449–458, Jun. 2004. doi: 10.1088/0964- 1726/13/3/001.
  8.  Y. Suzuki and Y. Kagawa, “Vibration control and sinusoidal external force estimation of a flexible shaft using piezoelectric actuators,” Smart Mater. Struct., vol. 21, no. 12, Dec. 2012. doi: 10.1088/0964-1726/21/12/125006.
  9.  O. Lindenborn, B. Hasch, D. Peters, and R. Nordmann, “Vibration reduction and isolation of a rotor in an actively supported bearing using piezoelectric actuators and the FXLMS algorithm,” in 9th International Conference on Vibrations in Rotating Machinery, Exeter, Sep. 2008.
  10.  R.S. Schittenhelm, S. Bevern, and B. Riemann, “Aktive Schwingungsminderung an einem gyroskopiebehafteten Rotorsystem mittels des FxLMS-Algorithmus,” in SIRM 2013 – 10. Internationale Tagung Schwingungen in rotierenden Maschinen, Berlin, Deutschland, Feb. 2013.
  11.  S. Heindel, P.C. Müller, and S. Rinderknecht, “Unbalance and resonance elimination with active bearings on general rotors,” J. Sound Vib., vol. 431, pp. 422–440, Sep. 2018. doi: 10.1016/j.jsv.2017.07.048.
  12.  B. Vervisch, K. Stockman, and M. Loccufier, “A modal model for the experimental prediction of the stability threshold speed,” Appl. Math. Modell., vol. 60, pp. 320–332, Aug. 2018. doi: 10.1016/j.apm.2018.03.020.
  13.  S. Kuo and D. Morgan, “Active noise control: a tutorial review,” Proc. IEEE, vol. 87, no. 6, pp. 943–975, Jun. 1999. doi: 10.1109/5.763310.
  14.  J. Jiang and Y. Li, “Review of active noise control techniques with emphasis on sound quality enhancement,” Appl. Acoust., vol. 136, pp. 139–148, Jul. 2018. doi: 10.1016/j.apacoust. 2018.02.021.
  15.  L.P. de Oliveira, B. Stallaert, K. Janssens, H. Van der Auweraer, P. Sas, and W. Desmet, “NEX-LMS: A novel adaptive control scheme for harmonic sound quality control,” Mech. Syst. Signal Process., vol. 24, no. 6, pp. 1727–1738, Aug. 2010. doi: 10.1016/j.ymssp.2010.01.004.
  16.  S.S. Narayan, A.M. Peterson, and M.J. Narasimha, “Transform domain LMS algorithm,” IEEE Trans. Acoust. Speech Signal Process., vol. 31, no. 3, pp. 609–615, Jun. 1983.
  17.  J. Jungblut, D.F. Plöger, P. Zech, and S. Rinderknecht, “Order tracking based least mean squares algorithm,” in Proceedings of 8th IFAC Symposium on Mechatronic Systems MECHATRONICS 2019, Vienna, Sep. 2019, pp. 465–470.
  18.  J. Jungblut, C. Fischer, and S. Rinderknecht, “Supplementary data: Active vibration control of a gyroscopic rotor using experimental modal analysis,” 2020. [Online]. doi: 10.48328/tudatalib-572.
Go to article

Authors and Affiliations

Jens Jungblut
1
ORCID: ORCID
Christian Fischer
1
ORCID: ORCID
Stephan Rinderknecht
1
ORCID: ORCID

  1. Institute for Mechatronic Systems, Technical University Darmstadt, 64287, Germany
Download PDF Download RIS Download Bibtex

Abstract

In the paper, the results of investigations on the location of generating units most affecting the angular stability of a large power system (PS) are presented. For their location, the eigenvalues of the PS model state matrix associated with electromechanical phenomena (electromechanical eigenvalues) were used. The eigenvalues were calculated on the basis of the analysis of the disturbance waveforms of instantaneous power of the generating units operating in the PS. The used method of calculating eigenvalues consists in approximation of the disturbance waveforms of generating units by the waveforms being the superposition of modal components. The parameters of these components depend on the sought eigenvalues and their participation factors. The objective function was defined as the mean square error between the approximated and approximating waveforms. To minimize it, a hybrid algorithm, being a combination of genetic and gradient algorithms, was used. In the instantaneous power waveforms of generating units most affecting the PS angular stability, the least damped or undamped modal components dominate. They are related to eigenvalues with the largest values of real parts. The impact of individual modal components on the disturbance waveforms of subsequent generating units was determined with the use of participation factors and correlation coefficients of electromechanical eigenvalues.

Go to article

Authors and Affiliations

Piotr Pruski
ORCID: ORCID
Stefan Paszek
ORCID: ORCID
Download PDF Download RIS Download Bibtex

Abstract

For thin-walled structures invariably exposed to thermal and noise environment, their dynamic response is an extreme concern in the design of the component of advanced hypersonic aircraft. To address the problem, three theoretical models are established with three typical graded thermal distributions considered. By introducing the thermal moment, membrane forces and acoustic loadings into the vibration equation of plate, the governing equation is derived and it is solved combined with boundary conditions of the plate, the modal function and velocity compatibility equations at the fluid-structure coupling surface. The accuracy of the theoretical predictions is checked against finite element results with good agreement achieved. The results show that not the physical parameters with variation of temperature but the thermal moments and membrane forces, cause the buckling phenomenon. It is noted that buckling phenomenon occurs not only in uniform temperature field but also in graded temperature distribution filed. The mechanism analysis about modal snap-through and losing phenomenon indicates that thermoacoustic loadings will affect the stiffness matrix and mass matrix of structure. With the increase of temperature, the lower modes of the plate are lost, the higher modes appear in advance, and the losing phenomenon occurs in accordance with the order.

Go to article

Authors and Affiliations

Zhigao Dang
Zhaoyong Mao
Download PDF Download RIS Download Bibtex

Abstract

Acoustic barriers which are positioned along traffic lanes are designed to protect the surroundings from excessive noise. Such structures are to reverberate, diffract and damp the propagating acoustic waves. However, this method of shielding has some disadvantages which include constraint visibility and structure-born noise. The interaction between traffic-caused movement of air mass and acoustic barriers may generate infra noise waves. That is undesirable and should be estimated. The authors undertook the research to diagnose the plausible side effect of structure-born noise of such barriers because it may influence human body (Kasprzak, 2014). As a mechanical structure, the acoustic barrier is characterized by mechanical parameters which, in the field of modal analysis, are made up of natural frequencies, damping factors and mode shapes. In this paper the authors investigated the acoustic pressure distribution in the neighborhood of a real acoustic barrier in the scope of infra noise propagation. The methods of modal analysis were used to identify natural frequencies of the barrier and dominating frequencies of propagating waves in the far field. The correlation between observed vibration and acoustic signals is presented.

Go to article

Authors and Affiliations

Andrzej Staniek
Cezary Bartmański
Download PDF Download RIS Download Bibtex

Abstract

The article presents the process of identifying discrete-continuous models with the use of heuristic algorithms. A stepped cantilever beam was used as an example of a discrete-continuous model. The theoretical model was developed based on the formalism of Lagrange multipliers and the Timoshenko theory. Based on experimental research, the theoretical model was validated and the optimization problem was formulated. Optimizations were made for two algorithms: genetic (GA) and particle swarm (PSO). The minimization of the relative error of the obtained experimental and numerical results was used as the objective function. The performed process of identifying the theoretical model can be used to determine the eigenfrequencies of models without the need to conduct experimental tests. The presented methodology regarding the parameter identification of the beams with the variable cross-sectional area (according to the Timosheno theory) with additional discrete components allows us to solve similar problems without the need to exit complex patterns.
Go to article

Bibliography

  1.  D. Cekus, B. Posiadała, and P. Warys, “Integration of modeling in SolidWorks and Matlab/Simulink environments,” Arch. Mech. Eng., vol. 61, no. 1, pp. 57–74, 2014, doi: 10.2478/meceng-2014-0003.
  2.  K. Kuliński and J. Przybylski, “Stability and vibrations control of a stepped beam using piezoelectric actuation,” MATEC Web Conf., vol. 157, p. 08004, 2018, doi: 10.1051/matecconf/201815708004.
  3.  S.A. Moezi, E. Zakeri, A. Zare, and M. Nedaei, “On the application of modified cuckoo optimization algorithm to the crack detection problem of cantilever Euler–Bernoulli beam,” Comput. Struct., vol. 157, pp. 42–50, 2015, doi: 10.1016/j.compstruc.2015.05.008.
  4.  P.K. Jena and D.R. Parhi, “A modified particle swarm optimization technique for crack detection in cantilever beams,” Arabian J. Sci Eng., vol. 40, no. 11, pp. 3263–3272, 2015, doi: 10.1007/s13369-015-1661-6.
  5.  X.-L. Li, R. Serra, and O. Julien, “Effects of the Particle Swarm Optimization parameters for structural dynamic monitoring of cantilever beam,” in Surveillance, Vishno and AVE conferences. Lyon, France: INSA-Lyon, Université de Lyon, 2019. Available: https://hal.archives-ouvertes. fr/hal-02188562.
  6.  S. Das, S. Mondal, and S. Guchhait, “Particle swarm optimization-based characterization technique of nonproportional viscous damping parameter of a cantilever beam,” J. Vib. Control, p. 107754632110105, 2021, doi: 10.1177/10775463211010526.
  7.  J. Zolfaghari, “Optimization of dynamic response of cantilever beam by genetic algorithm,” in Nonlinear Approaches in Engineering Applications. Springer International Publishing, 2019, pp. 403–448, doi: 10.1007/978-3-030-18963-1_10.
  8.  M.A. Wahab, I. Belaidi, T. Khatir, A. Hamrani, Y.-L. Zhou, and M.A. Wahab, “Multiple damage detection in composite beams using particle swarm optimization and genetic algorithm,” Mechanics, vol. 23, no. 4, 2017, doi: 10.5755/j01.mech.23.4.15254.
  9.  Z. Xia, K. Mao, S. Wei, X. Wang, Y. Fang, and S. Yang, “Application of genetic algorithm-support vector regression model to predict damping of cantilever beam with particle damper,” J. Low Freq. Noise Vibr. Act. Control, vol. 36, no. 2, pp. 138–147, 2017, doi: 10.1177/0263092317711987.
  10.  M. Friswell and J. Mottershead, Finite Element Model Updating in Structural Dynamics, Springer, Dordrecht, 1995.
  11.  S. Garus and W. Sochacki, “Structure optimization of quasi one-dimensional acoustic filters with the use of a genetic algorithm,” Wave Motion, vol. 98, p. 102645, 2020, doi: 10.1016/j.wavemoti.2020.102645.
  12.  S. Mirjalili, “Genetic algorithm,” in Studies in Computational Intelligence. Springer, Cham, 2018, pp. 43–55, doi: 10.1007/978-3-319-93025-1_4.
  13.  W. Sochacki, J. Garus, J. Szmidla, M. Nabiałek, K. Błoch, P. Kwiatoń, B. Jeż, K. Jeż, and S. Garus, “Designing two-band mechanical wave filters using genetic algorithm,” Acta Phys. Pol. A, vol. 139, no. 5, pp. 479–482, May 2021, doi: 10.12693/aphyspola.139.479.
  14.  J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of ICNN’95 – International Conference on Neural Networks. IEEE, 1995, doi: 10.1109/icnn.1995.488968.
  15.  D. Skrobek and D. Cekus, “Optimization of the operation of the anthropomorphic manipulator in a three-dimensional working space,” Eng. Optim., vol. 51, no. 11, pp. 1997–2010, 2019, doi: 10.1080/0305215x.2018.1564919.
  16.  P. Dziwiński, Ł. Bartczuk, and J. Paszkowski, “A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm,” J. Artif. Intell. Soft Comput. Res., vol. 10, no. 2, pp. 95– 111, Mar. 2020, doi: 10.2478/jaiscr-2020-0007.
  17.  S. Timoshenko, “On the transverse vibrations of bars of uniform cross section,” Philos. Mag., vol. 43, no. 253, pp. 125–131, Jan. 1922, doi: 10.1080/14786442208633855.
  18.  W. Sochacki, “The dynamic stability of a stepped cantilever beam with attachments,” J. Vibroeng., vol. 15, no. 1, pp. 280– 290, 2013.
  19.  M.H. Korayem and A. Nahavandi, “Analyzing the effect of the forces exerted on cantilever probe tip of atomic force microscope with tapering- shaped geometry and double piezoelectric extended layers in the air and liquid environments,” J. Sound Vib., vol. 386, pp. 251–264, 2017, doi: 10.1016/j.jsv.2016. 08.031.
  20.  B. Posiadała, “Use of lagrange multiplier formalism to analyze free vibrations of combined dynamical systems,” J. Sound Vib., vol. 176, no. 4, pp. 563–572, Sep. 1994, doi: 10.1006/jsvi.1994.1396.
  21.  R. Pytlarz, “Experimental modal analysis of the beam with the help of non-contact vibration measurement method,” Master’s thesis, Czestochowa University of Technology, Częstochowa, 2008.
  22.  Z. Abo-Hammour, O.A. Arqub, O. Alsmadi, S. Momani, and A. Alsaedi, “An optimization algorithm for solving systems of singular boundary value problems,” Appl. Math. Inf. Sci., vol. 8, no. 6, pp. 2809–2821, 2014, doi: 10.12785/amis/080617.
  23.  I. Rejer, “Classic genetic algorithm vs. genetic algorithm with aggressive mutation for feature selection for a brain-computer interface,” Przegląd Elektrotechniczny, vol. 1, no. 2, pp. 100–104, 2015, doi: 10.15199/48.2015.02.24.
  24.  M. Nikoo, M. Hadzima-Nyarko, E.K. Nyarko, and M. Nikoo, “Determining the natural frequency of cantilever beams using ANN and heuristic search,” Appl. Artif. Intell, vol. 32, no. 3, pp. 309–334, Mar. 2018, doi: 10.1080/08839514.2018.1448003.
  25.  A. Mayer, “A genetic algorithm with randomly shifted gray codes and local optimizations based on quadratic approximations of the fitness,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM, 2017, doi: 10.1145/3067695.3075968.
  26.  B. Ufnalski and L. Grzesiak, “Particle swarm optimization of artificial-neural-network-based on-line trained speed controller for battery electric vehicle,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 60, no. 3, pp. 661–667, 2012, doi: 10.2478/v10175-0120059-9.
  27.  M. Szczepanik and T. Burczyński, “Swarm optimization of stiffeners locations in 2-d structures,” Bull. Pol. Acad. Sci. Tech. Sci.,, vol. 60, no. 2, pp. 241–246, 2012, doi: 10.2478/v10175012-0032-7.
  28.  J.C. Bansal, “Particle swarm optimization,” in Studies in Computational Intelligence. Springer, Cham, 2018, pp. 11–23, doi: 10.1007/978-3- 319-91341-4_2.
  29.  D. Cekus and P. Warys, “Identification of parameters of discretecontinuous models,” in AIP Conference Proceedings. AIP Publishing LLC, 2015, doi: 10.1063/1.4913110.
  30.  D. Cekus and D. Skrobek, “The influence of inertia weight on the particle swarm optimization algorithm,” J. Appl. Math. Comput. Mech., vol. 17, no. 4, pp. 5–11, Dec. 2018, doi: 10.17512/jamcm.2018.4.01.
  31.  A.R. Jordehi and J. Jasni, “Parameter selection in particle swarm optimisation: a survey,” J. Exp. Theor. Artif. Intell., vol. 25, no. 4, pp. 527–542, Dec. 2013, doi: 10.1080/0952813x.2013.782348.
Go to article

Authors and Affiliations

Dawid Cekus
1
ORCID: ORCID
Paweł Kwiatoń
1
ORCID: ORCID
Michal Šofer
2
ORCID: ORCID
Pavel Šofer
3
ORCID: ORCID

  1. Department of Mechanics and Machine Design Fundamentals, Faculty of Mechanical Engineering and Computer Science, Czestochowa University of Technology, 42-201 Częstochowa, Poland
  2. Department of Applied Mechanics, Faculty of Mechanical Engineering, VŠB-Technical University of Ostrava, 17. listopadu 15/2127, 708 33 Ostrava-Poruba, Czech Republic
  3. Department of Control Systems and Instrumentation, Faculty of Mechanical Engineering, VŠB-Technical University of Ostrava, 17. listopadu 15/2127, 708 33 Ostrava-Poruba, Czech Republic
Download PDF Download RIS Download Bibtex

Abstract

The paper presents arch structures modeled by finite elements in which the nodes can be flexibly connected. Two-node curved elements with three degrees of freedom at each node were used. Exact shape functions were adopted to obtain stiffness and consistent mass matrices but they were modified by introducing rotational flexibility in the boundary nodes. Calculations of statics and dynamics of arches with different positions of flexible joints and different values of rotational stiffness of the joints were carried out.
Go to article

Authors and Affiliations

Magdalena Łasecka-Plura
1
ORCID: ORCID
Zdzisław Pawlak
1
ORCID: ORCID
Martyna Żak-Sawiak
1
ORCID: ORCID

  1. Poznan University of Technology, Institute of Structural Analysis, ul. Piotrowo 5, 60-965 Poznan, Poland
Download PDF Download RIS Download Bibtex

Abstract

Although the study of oscillatory motion has a long history, going back four centuries, it is still an active subject of scientificr esearch. In this review paper prospective research directions in the field of mechanical vibrations were pointed out. Four groups of important issues in which advanced research is conducted were discussed. The first are energy harvester devices, thanks to which we can obtain or save significant amounts of energy, and thus reduce the amount of greenhouse gases. The next discussed issue helps in the design of structures using vibrations and describes the algorithms that allow to identify and search for optimal parameters for the devices being developed. The next section describes vibration in multi-body systems and modal analysis, which are key to understanding the phenomena in vibrating machines. The last part describes the properties of granulated materials from which modern, intelligent vacuum-packed particles are made. They are used, for example, as intelligent vibration damping devices.
Go to article

Bibliography

  1.  K. Di et al., “Dielectric elastomer generator for electromechanical energy conversion: A mini review,” Sustainability, vol. 13, p. 9881, 2021, doi: 10.3390/su13179881.
  2.  D. Wang, J. Mo, X. Wang, H. Ouyang, and Z. Zhou, “Experimental and numerical investigations of the piezoelectric energy harvesting via friction-induced vibration,” Energy Convers. Manage., vol. 171, pp. 1134–1149, 2018, doi: 10.1016/ j.enconman.2018.06.052.
  3.  A. Anand, S. Naval, P.K. Sinha, N.K. Das, and S. Kundu, “Effects of coupling in piezoelectric multi-beam structure,” Microsyst. Technol., vol. 26, no. 4, pp. 1235–1252, 2019, doi: 10.1007/s00542-019-04653-3.
  4.  A. Anand and S. Kundu, “Design of a spiral-shaped piezoelectric energy harvester for powering pacemakers,” Nanomater. Energy, vol. 8, no. 2, pp. 139–150, 2019, doi: 10.1680/jnaen.19.00016.
  5.  S.B. Ayed, A. Abdelkefi, F. Najar, and M.R. Hajj, “Design and performance of variable-shaped piezoelectric energy harvesters,” J. Intell. Mater. Syst. Struct., vol. 25, no. 2, pp. 174– 186, 2013, doi: 10.1177/1045389x13489365.
  6.  S. Kundu and H.B. Nemade, “Piezoelectric vibration energy harvester with tapered substrate thickness for uniform stress,” Microsyst. Technol., vol. 27, no. 1, pp. 105–113, 2020, doi: 10.1007/s00542-020-04922-6.
  7.  S. Paquin and Y. St-Amant, “Improving the performance of a piezoelectric energy harvester using a variable thickness beam,” Smart Mater. Struct., vol. 19, no. 10, p. 105020, 2010, doi: 10.1088/0964-1726/19/10/105020.
  8.  J. Zhang, X. Xie, G. Song, G. Du, and D. Liu, “A study on a near-shore cantilevered sea wave energy harvester with a variable cross section,” Energy Sci. Eng., vol. 7, no. 6, pp. 3174– 3185, 2019, doi: 10.1002/ese3.489.
  9.  R. Hosseini and M. Nouri, “Shape design optimization of unimorph piezoelectric cantilever energy harvester,” J. Comput. Appl. Mech., vol. 47, no. 2, 2016, doi: 10.22059/jcamech.2017. 224975.126.
  10.  A. Anand, S. Pal, and S. Kundu, “Bandwidth and power enhancement in the MEMS based piezoelectric energy harvester using magnetic tip mass,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 70, no. 1, p. e137509, 2022, doi: 10.24425/bpasts.2021.137509.
  11.  X. Li et al., “Investigation to the influence of additional magnets positions on four magnet bi-stable piezoelectric energy harvester,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 70, no. 1, p. e140151, 2022, doi: 10.24425/bpasts.2022.140151.
  12.  P. Yingyong, P. Thainiramit, S. Jayasvasti, N. ThanachIssarasak, and D. Isarakorn, “Evaluation of harvesting energy from pedestrians using piezoelectric floor tile energy harvester,” Sens. Actuators A, vol. 331, p. 113035, 2021, doi: 10.1016/j.sna. 2021.113035.
  13.  P. Firoozy, S.E. Khadem, and S.M. Pourkiaee, “Broadband energy harvesting using nonlinear vibrations of a magnetopiezoelastic cantilever beam,” Int. J. Eng. Sci., vol. 111, pp. 113–133, 2017, doi: 10.1016/j.ijengsci.2016.11.006.
  14.  Y. Wu, J. Qiu, S. Zhou, H. Ji, Y. Chen, and S. Li, “A piezoelectric spring pendulum oscillator used for multi-directional and ultra-low frequency vibration energy harvesting,” Appl. Energy, vol. 231, pp. 600–614, 2018, doi: 10.1016/j.apenergy.2018. 09.082.
  15.  J. He et al., “Triboelectric piezoelectric electromagnetic hybrid nanogenerator for high efficient vibration energy harvesting and self powered wireless monitoring system,” Nano Energy, vol. 43, pp. 326–339, 2018, doi: 10.1016/j.nanoen.2017.11.039.
  16.  D. Zhu, S. Roberts, M.J. Tudor, and S.P. Beeby, “Design and experimental characterization of a tunable vibration-based electromagnetic micro- generator,” Sens. Actuators A, vol. 158, no. 2, pp. 284–293, Mar. 2010, doi: 10.1016/j.sna.2010.01.002.
  17.  W.-J. Su, J. Zu, and Y. Zhu, “Design and development of a broadband magnet-induced dual-cantilever piezoelectric energy harvester,” J. Intell. Mater. Syst. Struct., vol. 25, no. 4, pp. 430–442, Aug. 2013, doi: 10.1177/1045389x13498315.
  18.  D. Guo, X.F. Zhang, H. Y. Li, and H. Li, “Piezoelectric energy harvester array with magnetic tip mass,” in Volume 4B: Dynamics, Vibration, and Control. American Society of Mechanical Engineers, Nov. 2015, doi: 10.1115/imece2015-51044.
  19.  M. Ostrowski, B. Błachowski, M. Bocheński, D. Piernikarski, P. Filipek, and W. Janicki, “Design of nonlinear electromagnetic energy harvester equipped with mechanical amplifier and spring bumpers,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 68, no. 6, pp. 1373–1383, 2020, doi: 10.24425/BPASTS.2020.135384.
  20.  S.-C. Kim, J.-G. Kim, Y.-C. Kim, S.-J. Yang, and H. Lee, “A study of electromagnetic vibration energy harvesters: Design optimization and experimental validation,” Int. J. Precis. Eng. Manuf. Green Technol., vol. 6, no. 4, pp. 779–788, Jul. 2019, doi: 10.1007/s40684-019- 00130-4.
  21.  X. Wang et al., “Similarity and duality of electromagnetic and piezoelectric vibration energy harvesters,” Mech. Syst. Sig. Process., vol. 52-53, pp. 672–684, Feb. 2015, doi: 10.1016/j.ymssp.2014.07.007.
  22.  K. Kecik, A. Mitura, S. Lenci, and J. Warminski, “Energy harvesting from a magnetic levitation system,” Int. J. Non Linear Mech., vol. 94, pp. 200–206, Sep. 2017, doi: 10.1016/j.ijnon linmec.2017.03.021.
  23.  A. Preumont, Mechatronics – Dynamics of Electromechanical and Piezoelectric Systems. Springer Netherlands, 2006, doi: 10.1007/1-4020- 4696-0.
  24.  I. Shahosseini and K. Najafi, “Mechanical amplifier for translational kinetic energy harvesters,” J. Phys. Conf. Ser., vol. 557, p. 012135, Nov. 2014, doi: 10.1088/1742-6596/557/1/012135.
  25.  H. Fu, S. Theodossiades, B. Gunn, I. Abdallah, and E. Chatzi, “Ultra-low frequency energy harvesting using bi-stability and rotary-translational motion in a magnet-tethered oscillator,” Nonlinear Dyn., vol. 101, no. 4, pp. 2131–2143, Sep. 2020, doi: 10.1007/s11071-020-05889-9.
  26.  H. Zhang, L. R. Corr, and T. Ma, “Issues in vibration energy harvesting,” J. Sound Vib., vol. 421, pp. 79–90, May 2018, doi: 10.1016/j. jsv.2018.01.057.
  27.  M. Mösch, G. Fischerauer, and D. Hoffmann, “A self-adaptive and self-sufficient energy harvesting system,” Sensors, vol. 20, no. 9, p. 2519, Apr. 2020, doi: 10.3390/s20092519.
  28.  M. Ostrowski, B. Blachowski, B. Poplawski, D. Pisarski, G. Mikulowski, and L. Jankowski, “Semi-active modal control of structures with lockable joints: general methodology and applications,” Struct. Control Health Monit., vol. 28, no. 5, p. e2710, Feb. 2021, doi: 10.1002/ stc.2710.
  29.  Y. Zhao, M. Alashmori, F. Bi, and X. Wang, “Parameter identification and robust vibration control of a truck driver’s seat system using multi- objective optimization and genetic algorithm,” Applied Acoustics, vol. 173, p. 107697, 2021, doi: 10.1016/j.apacoust.2020.107697.
  30.  S.S. Kessler, S. Spearing, M.J. Atalla, C.E. Cesnik, and C. Soutis, “Damage detection in composite materials using frequency response methods,” Composites Part B, vol. 33, no. 1, pp. 87–95, 2002, doi: 10.1016/S1359-8368(01)00050-6.
  31.  R. Hou and Y. Xia, “Review on the new development of vibration-based damage identification for civil eng. struct.: 2010– 2019,” J. Sound Vib., vol. 491, p. 115741, 2021, doi: 10.1016/ j.jsv.2020.115741.
  32.  K. Dziedziech, P. Czop, W.J. Staszewski, and T. Uhl, “Combined non-parametric and parametric approach for identification of time-variant systems,” Mech. Syst. Sig. Process., vol. 103, pp. 295–311, 2018, doi: 10.1016/j.ymssp.2017.10.020.
  33.  A. Abusoua and M. F. Daqaq, “On using a strong high-frequency excitation for parametric identification of nonlinear systems,” J. Vib. Acoust., vol. 139, no. 5, p. 051012, 2017, doi: 10.1115/ 1.4036504.
  34.  B. Zhu, Y. Dong, and Y. Li, “Nonlinear dynamics of a viscoelastic sandwich beam with parametric excitations and internal resonance,” Nonlinear Dyn., vol. 94, no. 4, pp. 2575–2612, 2018, doi: 10.1007/s11071-018-4511-8.
  35.  F. Beltran-Carbajal and G. Silva-Navarro, “Generalized nonlinear stiffness identification on controlled mechanical vibrating systems,” Asian J. Control, vol. 21, no. 3, pp. 1281–1292, 2018, doi: 10.1002/asjc.1807.
  36.  B.S. Razavi, M.R. Mahmoudkelayeh, and S.S. Razavi, “Damage identification under ambient vibration and unpredictable signal nature,” J. Civ. Struct. Health Monit., vol. 11, no. 5, pp. 1253–1273, 2021, doi: 10.1007/s13349-021-00503-x.
  37.  A.C. Altunıs¸ık, F.Y. Okur, and V. Kahya, “Modal parameter identification and vibration based damage detection of a multiple cracked cantilever beam,” Eng. Fail. Anal., vol. 79, pp. 154–170, 2017, doi: 10.1016/j.engfailanal.2017.04.026.
  38.  K. Ciecieląg, A. Skoczylas, J. Matuszak, K. Zaleski, and K. Kęcik, “Defect detection and localization in polymer composites based on drilling force signal by recurrence analysis,” Measurement, vol. 186, p. 110126, 2021, doi: 10.1016/j.measurement.2021.110126.
  39.  M. Bowkett and K. Thanapalan, “Comparative analysis of failure detection methods of composites materials’ systems,” Syst. Sci. Control Eng., vol. 5, no. 1, pp. 168–177, 2017, doi: 10.1080/ 21642583.2017.1311240.
  40.  D. Cekus, P. Kwiatoń, M. Šofer, and P. Šofer, “Application of heuristic methods to identification of the parameters of discretecontinuous models,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 70, no. 1, p. e140150, 2022, doi: 10.24425/bpasts.2022.140150.
  41.  S. Garus, W. Sochacki, M. Kubanek, and M. Nabiałek, “Minimizing the number of layers of the quasi one-dimensional phononic structures,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 70, no. 1, p. e139394, 2022, doi: 10.24425/bpasts.2021.139394.
  42.  A. Cancelli, S. Laflamme, A. Alipour, S. Sritharan, and F. Ubertini, “Vibration-based damage localization and quantification in a pretensioned concrete girder using stochastic subspace identification and particle swarm model updating,” Struct. Health Monit., vol. 19, no. 2, pp. 587–605, 2019, doi: 10.1177/1475 921718820015.
  43.  S. Barman, M. Mishra, D. Maiti, and D. Maity, “Vibration-based damage detection of structures employing bayesian data fusion coupled with TLBO optimization algorithm,” Struct. Multidiscip. Optim., vol. 64, pp. 2243–2266, 2021, doi: 10.1007/s00158021-02980-6.
  44.  S. Das, S. Mondal, and S. Guchhait, “Particle swarm optimization-based characterization technique of nonproportional viscous damping parameter of a cantilever beam,” J. Vib. Control, p. 107754632110105, 2021, doi: 10.1177/1077546321101 0526.
  45.  R. Zenzen, I. Belaidi, S. Khatir, and M. A. Wahab, “A damage identification technique for beam-like and truss structures based on frf and bat algorithm,” Comptes Rendus Mécanique, vol. 346, pp. 1253–1266, 2018, doi: 10.1016/j.crme.2018.09.003.
  46.  M.-S. Huang, M. Gül, and H.-P. Zhu, “Vibration-based structural damage identification under varying temperature effects,” J. Aerosp. Eng., vol. 31, no. 3, p. 04018014, 2018, doi: 10.1061/(asce)as.1943-5525.0000829.
  47.  Y. Zhang, Y. Miyamori, S. Mikami, and T. Saito, “Vibrationbased structural state identification by a 1-dimensional convolutional neural network,” Comput.-Aided Civ. Infrastruct. Eng., vol. 34, no. 9, pp. 822–839, 2019, doi: 10.1111/mice.12447.
  48.  H. Nick and A. Aziminejad, “Vibration-based damage identification in steel girder bridges using artificial neural network under noisy conditions,” J. Nondestr. Eval., vol. 40, no. 1, p. 15, 2021, doi: 10.1007/s10921-020-00744-8.
  49.  Y. Yang, C. Dorn, C. Farrar, and D. Mascareñas, “Blind, simultaneous identification of full-field vibration modes and large rigid-body motion of output-only structures from digital video measurements,” Eng. Struct., vol. 207, p. 110183, 2020, doi: 10.1016/j.engstruct.2020.110183.
  50.  Z. Fu and J. He, Modal analysis, ser. 1st edition. Delhi, Oxford: Butterworth-Heinemann, 2001.
  51.  R. Craig and A. Kurdila, Fundamentals of Struct. Dyn., ser. 2nd edition. Hoboken, New Jersey: Wiley, 2006.
  52.  D. de Klerk, D.J. Rixen, and S.N. Voormeeren, “General framework for dynamic substructuring: History, review and classification of techniques,” AIAA Journal, vol. 46, no. 5, pp. 1169–1181, 2008, doi: 10.2514/1.33274.
  53.  J. Roy Craig, Coupling of substructures for dynamic analyses – An overview, 2000, doi: 10.2514/6.2000-1573.
  54.  A. Shabana, Dynamics of Multibody Systems, ser. 4th edition. Cambridge, Chicago: Cambridge University Press, 2013.
  55.  B. Rong, X. Rui, L. Tao, and G. Wang, “Theoretical modeling and numerical solution methods for flexible multibody system dynamics,” Nonlinear Dyn., vol. 98, p. 1519–1553, 2019, doi: 10.1007/s11071-019-05191-3.
  56.  V. Sonneville, M. Scapolan, M. Shan, and O. Bauchau, “Modal reduction procedures for flexible multibody dynamics,” Multibody Sys.Dyn., vol. 51, pp. 377–418, 2021, doi: 10.1007/s11044020-09770-w.
  57.  J. Kim, J. Han, H. Lee, and S. Kim, “Flexible multibody dynamics using coordinate reduction improved by dynamic correction,” Multibody Sys.Dyn., vol. 42, pp. 411–429, 2018, doi: 10.1007/s11044-017-9607-2.
  58.  A. Cammarata, “Global modes for the reduction of flexible multibody systems,” Multibody Sys.Dyn., vol. 53, pp. 59–83, 2021, doi: 10.1007/ s11044-021-09790-0.
  59.  Y. Tang, H. Hu, and Q. Tian, “Model order reduction based on successively local linearizations for flexible multibody dynamics,” Int. J. Numer. Methods Eng., vol. 118, no. 3, pp. 159–180, 2019, doi: 10.1002/nme.6011.
  60.  I. Palomba and R. Vidoni, “Flexible-link multibody system eigenvalue analysis parameterized with respect to rigid-body motion,” Applied Sciences, vol. 9, no. 23, p. 5156, 2019, doi: 10.3390/app9235156.
  61.  K. Worden and P. Green, “A machine learning approach to nonlinear modal analysis,” Mech. Syst. Sig. Process., vol. 84, pp. 34–53, 2017, doi: 10.1016/j.ymssp.2016.04.029.
  62.  G. Kerschen, Modal Analysis of Nonlinear Mechanical Systems, ser. CISM International Centre for Mechanical Sciences. Vienna, Udine: Springer, 2014.
  63.  G. Kerschen, M. Peeters, J. C. Golinval, and C. Stéphan, “Nonlinear modal analysis of a full-scale aircraft,” Journal of Aircraft, vol. 50, no. 5, pp. 1409–1419, 2013, doi: 10.2514/1.C031918.
  64.  A. Albu-Schäffer and C. Della Santina, “A review on nonlinear modes in conservative mechanical systems,” Annu. Rev. Control, vol. 50, pp. 49–71, 2020, doi: 10.1016/j.arcontrol.2020.10.002.
  65.  W. Heylen, S. Lammens, and P. Sas, Modal Analysis Theory and Testing, ser. 1st edition. Heverlee, Belgium: Katholieke Universiteit Leuven, 2007.
  66.  E. Orlowitz and A. Brandt, “Comparison of experimental and operational modal analysis on a laboratory test plate,” Measurement, vol. 102, pp. 121–130, 2017, doi: 10.1016/j.measurement. 2017.02.001.
  67.  F. Zahid, Z. Ong, and S. Khoo, “A review of operational modal analysis techniques for in-service modal identification,” J. Braz. Soc. Mech. Sci. Eng., vol. 42, p. 398, 2020, doi: 10.1007/s40430020-02470-8.
  68.  D. Montanari, A. Agostini, M. Bonini, G. Corti, and C. Ventisette, “The use of empirical methods for testing granular materials in analogue modelling,” Materials, vol. 10, no. 6, p. 635, Jun. 2017, doi: 10.3390/ma10060635.
  69.  B. Kou et al., “Granular materials flow like complex fluids,” Nature, vol. 551, no. 7680, pp. 360–363, Nov. 2017, doi: 10.1038/ nature24062.
  70.  C. Sandeep and K. Senetakis, “Effect of young’s modulus and surface roughness on the inter-particle friction of granu lar materials,” Materials, vol. 11, no. 2, p. 217, Jan. 2018, doi: 10.3390/ma11020217.
  71.  A. Wautier et al., “Multiscale modelling of granular materials in boundary value problems accounting for mesoscale mechanisms,” Comput. Geotech., vol. 134, p. 104143, 2021, doi: 10.1016/j.compgeo.2021.104143.
  72.  G. Recchia, H. Cheng, V. Magnanimo, and L. La Ragione, “Failure in granular materials based on acoustic tensor: a numerical analysis,” EPJ Web Conf. Powders and Grains, vol. 249, p. 10005, 2021.
  73.  J. Irazábal, F. Salazar, and E. Oñate, “Numerical modelling of granular materials with spherical discrete particles and the bounded rolling friction model. Application to railway ballast,” Comput. Geotech., vol. 85, pp. 220–229, 2017, doi: 10.1016/ j.compgeo.2016.12.034.
  74.  S. Zhao, T.M. Evans, and X. Zhou, “Shear-induced anisotropy of granular materials with rolling resistance and particle shape effects,” Int. J. Solids Struct., vol. 150, pp. 268–281, 2018, doi: 10.1016/j.ijsolstr.2018.06.024.
  75.  Z. Nie, C. Fang, J. Gong, and Z. Liang, “Dem study on the effect of roundness on the shear behaviour of granular materials,” Comput. Geotech., vol. 121, p. 103457, 2020, doi: 10.1016/ j.compgeo.2020.103457.
  76.  J. Huang, S. Hu, S. Xu, and S. Luo, “Fractal crushing of granular materials under confined compression at different strain rates,” Int. J. Impact Eng., vol. 106, pp. 259–265, 2017, doi: 10.1016/ j.ijimpeng.2017.04.021.
  77.  S. Larsson, J.M.R. Prieto, G. Gustafsson, H.-Å. Häggblad, and P. Jonsén, “The particle finite element method for transient granular material flow: modelling and validation,” Comput. Part. Mech., vol. 8, no. 1, pp. 135–155, Feb. 2020, doi: 10.1007/ s40571-020-00317-6.
  78.  C. Zhai, E. Herbold, S. Hall, and R. Hnourley, “Particle rotations and energy dissipation during mechanical compression of granular materials,” J. Mech. Phys. Solids, vol. 129, pp. 19–38, 2019, doi: 10.1016/j.jmps.2019.04.018.
  79.  S. Liu, Z. Nie, W. Hu, J. Gong, and P. Lei, “Effect of parti cle type on the shear behaviour of granular materials,” Particuology, vol. 56, pp. 124–131, 2021, doi: 10.1016/j.partic.2020. 11.001.
  80.  W. Fei, G.A. Narsilio, J.H. van der Linden, and M.M. Disfani, “Quantifying the impact of rigid interparticle structures on heat transfer in granular materials using networks,” Int. J. Heat Mass Transfer, vol. 143, p. 118514, 2019, doi: 10.1016/j.ijheatmasstransfer.2019.118514.
  81.  A.M. Druckrey, K.A. Alshibli, and R.I. Al-Raoush, “Discrete particle translation gradient concept to expose strain localisation in sheared granular materials using 3d experimental kinematic measurements,” Géotechnique, vol. 68, no. 2, pp. 162–170, Feb. 2018, doi: 10.1680/ jgeot.16.p.148.
  82.  R. Gupta, S. Salager, K. Wang, and W. Sun, “Open-source support toward validating and falsifying discrete mechanics models using synthetic granular materials – part i: Experimental tests with particles manufactured by a 3d printer,” Acta Geotech., vol. 14, no. 4, pp. 923–937, Jul. 2018, doi: 10.1007/s11440-0180703-0.
  83.  Y. Sun, S. Nimbalkar, and C. Chen, “Particle breakage of granular materials during sample preparation,” J. Rock Mech. Geotech. Eng., vol. 11, no. 2, pp. 417–422, 2019, doi: 10.1016/j.jrmge.2018.12.001.
  84.  T. Sweijen, B. Chareyre, S. Hassanizadeh, and N. Karadimitriou, “Grain-scale modelling of swelling granular materials; application to super absorbent polymers,” Powder Technol., vol. 318, pp. 411–422, 2017, doi: 10.1016/j.powtec.2017.06.015.
  85.  H. M. Beakawi Al-Hashemi and O.S. Baghabra Al-Amoudi, “A review on the angle of repose of granular materials,” Powder Technol., vol. 330, pp. 397–417, 2018, doi: 10.1016/j.powtec.2018.02.003.
  86.  P. Bartkowski, H. Bukowiecki, F. Gawiński, and R. Zalewski, “Adaptive crash energy absorber based on a granular jamming mechanism,” Bull. Pol. Acad. Sci. Tech. Sci., p. e139002, 2021.
  87.  P. Bartkowski, R. Zalewski, and P. Chodkiewicz, “Parameter identification of bouc-wen model for vacuum packed particles based on genetic algorithm,” Arch. Civ. Mech. Eng., vol. 19, no. 2, pp. 322–333, 2019, doi: 10.1016/j.acme.2018. 11.002.
  88.  P. Bartkowski, G. Suwała, and R. Zalewski, “Temperature and strain rate effects of jammed granular systems: experiments and modelling,” Granular Matter, vol. 23, no. 4, p. 79, Aug. 2021, doi: 10.1007/s10035-021-01138-x.
Go to article

Authors and Affiliations

Sebastian Garus
1
ORCID: ORCID
Bartłomiej Błachowski
2
ORCID: ORCID
Wojciech Sochacki
1
ORCID: ORCID
Anna Jaskot
3
ORCID: ORCID
Paweł Kwiatoń
1
ORCID: ORCID
Mariusz Ostrowski
2
ORCID: ORCID
Michal Šofer
4
ORCID: ORCID
Tomasz Kapitaniak
5
ORCID: ORCID

  1. Faculty of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Poland
  2. Institute of Fundamental Technological Research, Polish Academy of Sciences, Poland
  3. Faculty of Civil Engineering, Czestochowa University of Technology, Poland
  4. Faculty of Mechanical Engineering, VŠB – Technical University of Ostrava, Czech Republic
  5. Division of Dynamics, Lodz University of Technology, Poland
Download PDF Download RIS Download Bibtex

Abstract

It is highly important to determine eigenvalues before and after certain extreme events that may cause damage accumulation, such as earthquake, blasts and mining or seismic tests on research models. Unique experiment design and shake table testing was performed to investigate seismic performance of a 3D RC building model with infill walls and advanced protection with polyurethane-based joints and fiber polymer reinforced light and emergency jackets. For the purpose of wider experimental activities, three methods for determination of the dynamic characteristics were used during multiple successive shake table tests following a dynamic pushover approach, and they are presented in detail. They are: inertance function through impact hammer tests, standard Fourier transformation of measured acceleration time history and digital image correlation. The expected differences in the results are related to the type and intensity of excitation used, the involvement of materials with different mechanical and physical properties, and with the different rate and extent of damage accumulation, as well as to local or global measurements. Y et, all methods lead to reliable results when a consistent methodology is being used, that takes into account locality or globality of measurements, leaving a choice for the most suitable one, depending on the site conditions. The inertance function method presented manifested its high efficiency in analysis of dynamic properties of large-scale structures and in monitoring of their changes caused by the damage and repair process. It offers quite a wide range of useful information, does not require very expensive equipment and its transportation cost is negligible. This method seems to be a proper diagnostic tool for simple experimental modal analysis of real structures and their structural elements, where detection of changes in the structural condition and in dynamic properties is required, also as a non-destructive testing and monitoring method. Digital image correlation proved to be a promising non-contact tool, strongly supporting the conventional instrumentation of shake table testing, while the Fourier transformation was used as a benchmark method yielding the most reliable results.
Go to article

Authors and Affiliations

Arkadiusz Kwiecień
1
ORCID: ORCID
Zoran Rakicevic
2
Jarosław Chełmecki
1
Aleksandra Bogdanovic
2
Marcin Tekieli
1
Łukasz Hojdys
1
Matija Gams
3
Piotr Krajewski
1
ORCID: ORCID
Filip Manojlovski
2
Antonio Soklarovski
2
Omer Faruk Halici
4
Theodoros Rousakis
Vachan Vanian
5

  1. Faculty of Civil Engineering, Cracow University of Technology, Cracow, Poland
  2. IZIIS, Ss. Cyril and Methodius University, Skopje, North Macedonia
  3. Faculty of Civil and Geodetic Engineering, University of Ljubljana, Ljubljana, Slovenia
  4. Istanbul Technical University, Istanbul, Turkey
  5. Democritus University of Thrace, Xanthi, Greece
Download PDF Download RIS Download Bibtex

Abstract

This paper presents the results of a dynamic response evaluation of a segmental bridge during two construction stages: before connecting the final segment of the bridge and after connecting the final segment of the bridge but prior to opening the bridge to traffic. The vibration signals obtained from Ambient Vibration Testing (AVT) campaigns were processed in order to obtain the modal parameters of the bridge during the two construction stages. Modal parameters experimentally obtained for the first stage were compared with those obtained from Finite Element (FE) models considering different construction loads scenarios. Finally, modal parameters experimentally obtained for the second stage were used to update its corresponding FE model considering two scenarios, before and after the installation of the asphalt pavement. The results presented in this paper demonstrated that a rigorous construction control is needed in order to effectively calibrate FE models during the construction process of segmental bridges.

Go to article

Authors and Affiliations

W. Hernandez
A. Viviescas
C.A. Riveros-Jerez
Download PDF Download RIS Download Bibtex

Abstract

The article introduces a method for selecting the best clamping conditions to obtain vibration reduction during the milling of large-size workpieces. It is based on experimental modal analysis performed for a set of assumed, fixing conditions of a considered workpiece to identify frequency response functions (FRFs) for each tightening torque of the mounting screws. Simulated plots of periodically changing nominal cutting forces are then calculated. Subsequently, by multiplying FRF and spectra of cutting forces, a clamping selection function (CSF) is determined, and, thanks to this function, vibration root mean square (RMS) is calculated resulting in the clamping selection indicator (CSI) that indicates the best clamping of the workpiece. The effectiveness of the method was evidenced by assessing the RMS value of the vibration level observed in the time domain during the real-time face milling process of a large-sized exemplary item. The proposed approach may be useful for seeking the best conditions for fixing the workpiece on the table.
Go to article

Authors and Affiliations

Krzysztof J. Kaliński
1
ORCID: ORCID
Marek A. Galewski
1
ORCID: ORCID
Natalia Stawicka-Morawska
1
ORCID: ORCID
Krzysztof Jemielniak
2
ORCID: ORCID
Michał R. Mazur
1
ORCID: ORCID

  1. Gdansk University of Technology, Faculty of Mechanical Engineering and Ship Technology, Institute of Mechanics and Machine Design,Gdansk, 80-233, Poland
  2. Warsaw University of Technology, Faculty of Mechanical and Industrial Engineering, Institute of Manufacturing Processes,Warsaw, 00-661, Poland
Download PDF Download RIS Download Bibtex

Abstract

Diverse strategies for identifying and finding the damages in structures have been continuously engaging to originators within the field. Due to the direct connection between the firmness, characteristic frequency, and mode shapes within the structure, the modular parameters may well be utilized for recognizing and finding the damages in structures. In current consider, a modern damage marker named Damage Localization Index (DLI) is applied, utilizing the mode shapes and their derivative. A finite element model of a frame with twenty and thirty components has been utilized, separately. The numerical model is confirmed based on experimental information. The indicator has been explored for the damaged components of a frame with one bay. The results have been compared with those of the well-known index CDF. To demonstrate the capability and exactness of the proposed method, the damages with low seriousness at different areas of the structures are explored. The results are investigated in noisy condition, considering 3% and 5% noise on modal data. The outcomes show the high level of accuracy of the proposed method for identifying the location of the damaged elements in frames.
Go to article

Authors and Affiliations

Mina Roodgar Nashta
1
ORCID: ORCID
Reza Taghipour
1
ORCID: ORCID
Mohsen Bozorgnasab
1
ORCID: ORCID
Hessam Mirgolbabaei
2
ORCID: ORCID

  1. Department of Civil Engineering, University of Mazandaran, Babolsar, Mazandaran, Iran
  2. Department of Mechanical and Industrial Engineering, University of Minnesota, Duluth, Minnesota, United States of America
Download PDF Download RIS Download Bibtex

Abstract

The paper presents an introduction to the method enabling the estimation of the range of investments necessary for the realisation of the mobility policy understood as the correction of the modal split into the sustainable proportion between car and non-car journeys. The models allow the calculation of the number of travellers required to shift into the public transport mode and the scale of selected investments including the development of the transport network, interchanges, rolling stock, and technical infrastructure. The basis of such calculations is the results of traffic surveys. The worldwide context of the study and similar actions are also presented. The paper consists of five sections. The first section contains a review of current problems connected with the sustainable mobility policy and the role of modal split. The second section focuses on the case study with the presentation of the local mobility policy and selected results of complex traffic surveys. The models used to estimate the investment challenges with exemplary calculations and presentation of similar effects of the intervention are described in the next section (3). Section four contains a discussion on the described methodology. The conclusions in section five end the main part of the paper.
Go to article

Bibliography


[1] Adkins A., Makarewicz C., Scanze M., Ingram M., Luhr G., “Contextualizing Walkability: Do Relationships Between Built Environments and Walking Vary by Socioeconomic Context?”, Journal of the American Planning Association Volume 83 (2017) Issue 3, pp. 296–314.
[2] Banister D. “The sustainable mobility paradigm” Transport Policy 15 (2008), pp. 73–80.
[3] Beirão G., Cabral J., “Understanding attitudes towards public transport and private car: A qualitative study” Transport Policy 14 (2007): pp. 478–489.
[4] Cass N., Faulconbridge J. “Commuting practices: New insights into modal shift from theories of social practice “ Transport Policy 45 (2016), pp. 1–14.
[5] Cervero R., Denman S., Jin Y., “Network design, built and natural environments, and bicycle commuting: Evidence from British cities and towns”, Transport Policy 74 (2019), pp. 153–164.
[6] Comprehensive Traffic Analysis in Wrocław and Its Vicinity [Kompleksowe Badania Ruchu we Wrocławiu i otoczeniu], KBR 2018 http://bip.um.wroc.pl/artykul/565/37499/kompleksowe-badania-ruchu-we-wroclawiu-i-otoczeniu-kbr-2018
[7] Dingil A.E., Schweizer J., Rupi F., Stasiskiene Z. “Transport indicator analysis and comparison of 151 urban areas, based on open source data” Eur. Transp. Res. Rev. 10 (2018), pp. 58–66.
[8] Fontoura W.B., Chaves G. de L.D., Ribeiro G.M., “The Brazilian urban mobility policy: The impact in São Paulo transport system using system dynamics”, Transport Policy 73 (2019), pp. 51–61.
[9] Goodman A., Jones A., Roberts H., Steinach R., Greny J. “ ‘We Can All Just Get on a Bus and Go’: Rethinking Independent Mobility in the Context of the Universal Provision of Free Bus Travel to Young Londoners” Mobilities, 2014 Vol. 9, No. 2, pp. 275–293.
[10] Gori S., Nigro M., Petreli M., “The impact of land use characteristics for sustainable mobility: the case study of Rome” Eur. Transp. Res. Rev. (2012) 4: pp. 153–166.
[11] Haddad E.A., Lozano-Gracia N., Germani E., Vieira R.S., Nakamura S., Skoufias E., Alves B.B., “Mobility in cities: Distributional impact analysis of transportation improvements in Săo Paulo Metropolitan Region”, Transport Policy 73 (2019), pp. 125–142.
[12] Hymel K., “If you build it, they will drive: Measuring induced demand for vehicle travel in urban areas”, Transport Policy 76 (2019), pp. 57–66.
[13] Kruszyna M., Śleszyński P., Rychlewski J., “Dependencies between Demographic Urbanization and the Agglomeration Road Traffic Volumes: Evidence from Poland”, Land 10 (2021), pp. 47–69.
[14] Liu Y., Wang S., Xiea B., “Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia”, Transport Policy 76 (2019), pp. 78–89.
[15] Metz D., “Valuing transport investments based on travel time saving: Inconsistency with United Kingdom policy objectives”, Case Studies on Transport Policy 21 (2017), pp. 716–721.
[16] Mobility Policy of the City of Wrocław, Attachment to the Resolution of Wrocław City Council No XLVIII/1169/12, 19.09.2013, http://bip.um.wroc.pl/uploads/files/WPM_2013_ENGLISH.pdf
[17] Næss P. “Urban form and travel behavior: Experience from a Nordic context” The Journal of Transport and Land Use 5 (2012) no. 2, pp. 21–45.
[18] Phun V.K., Kato H., Chalermpong S., “Paratransit as a connective mode for mass transit systems in Asian developing cities: Case of Bangkok in the era of ride-hailing services”, Transport Policy 75 (2019), pp. 27–35
[19] Schneider R.J., “Theory of routine mode choice decisions: An operational framework to increase sustainable transportation”, Transport Policy 25 (2013), pp. 128–137.
[20] Sperry B. R., Dye T., „Impact of new passenger rail stations on ridership demand and passenger characteristics: Hiawatha service case study”, Case Studies on Transport Policy 8 (2020), pp. 1158–1169.
[21] Tang S., Lo H.K., “The impact of public transport policy on the viability and sustainability of mass railway transit – The Hong Kong experience”, Transportation Research Part A 42 (2008), pp. 563–576.
[22] Tight M. et al. “Visions for a walking and cycling focussed urban transport system” Journal of Transport Geography 19 (2011), pp. 1580–1589.
[23] Tyrinopoulos Y., Antoniou C., “Factors affecting modal choice in urban mobility” Eur. Transp. Res. Rev. (2013) 5: pp. 27–39.
[24] Williams D. G., Chatterton T., Parkhurst G., Spotswood F., “An assessment of Voluntary Travel Behaviour Change delivery in England as an alternative to highway construction”, Case Studies on Transport Policy 19 (2019), pp. 318–329.
[25] Yan X., Levine J., Marans R., “The effectiveness of parking policies to reduce parking demand pressure and car use”, Transport Policy 73 (2019), pp. 41–50.
[26] Zhang, W., Guhathakurta, S., Khalil, E.B., 2018. The impact of private autonomous vehicles on vehicle ownership and unoccupied VMT generation. Transport. Res. C Emerg. Technol. 90, pp. 156–165.
[27] Zhao X., Chen P., Jiao J., Chen X., Bischak C., “How does ‘park and ride’ perform? An evaluation using longitudinal data”, Transport Policy 74 (2019), pp. 15–23.
[28] Zhou, J., Schweitzer, L., 2011. Getting drivers to switch: transit price and service quality among commuters. Journal of Urban Planning and Development 137, pp. 477–483.
[29] Zhou J., “Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students”, Transportation Research Part A 46 (2012), pp. 1013–1029.
Go to article

Authors and Affiliations

Maciej Kruszyna
1
ORCID: ORCID

  1. Wroclaw University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
Download PDF Download RIS Download Bibtex

Abstract

Within the INMOP 3 research project, an attempt was made to solve a number of problems associated with the methodology of modelling travel in urban areas and the application of intermodal models. One of these is the ability to describe the behaviour of transport system users, when it comes to making decisions regarding the selection of means of transport and searching for relationships between travel describing factors and the decisions made in regard of means of transport choice.

The paper describes a probabilistic approach to the determination of modal split, and the application of a logistic regression model to determine the impact of variables describing individual and mass transport travels on the probability of selecting specific means of transport. Travels in local model of Warsaw city divided into 9 motivation groups were tested, for which ultimately 8 models were developed, out of which 7 were deemed very well fitted (obtained pseudoR2 was well above 0.2).

Go to article

Authors and Affiliations

A. Brzeziński
K. Brzeziński
T. Dybicz
Ł. Szymański
Download PDF Download RIS Download Bibtex

Abstract

This paper presents an analysis of natural vibrations of typical façade scaffolding. Three Finite Element Method models with different levels of accuracy of the real structure of the scaffolding representation were used. Modal analysis was carried out for each of these models. The obtained frequencies and mode shapes were compared with the results from the measurements performed on the full-scale scaffolding. The authors of the paper point out the difficulties arise while modelling such structures, and suggest ways to improve the accuracy of scaffolding computational models.

Go to article

Authors and Affiliations

P. Jamińska-Gadomska
J. Bęc
T. Lipecki
A. Robak
Download PDF Download RIS Download Bibtex

Abstract

Paintings inevitably bear severe mechanical loads during transportation.Understanding the dynamic characteristics of paintings helps to avoid damage during transportation and to effectively slow down their aging.In this contribution, the vibration characteristics of canvas and primed canvas of paintings and their influencing factors are studied experimentally.For this reason, two dummy paintings with canvas in a common orientation and a tilted orientation are investigated, and an experimental setup using an excitation mechanism and a laser Doppler vibrometer is developed.In order to avoid changes of the modal parameters related to humidity or temperature, all experiments were conducted in a climate box.The modal parameters of dummy paintings are identified by means of experimental modal analysis.Also, the difference in modal properties of the two dummy paintings before and after applying the primer are compared.The identified modal parameters are used to reconstruct their eigenmodes.From the identified modal parameters a numerical model is derived, which is then compared to measurements.The comparison shows a good agreement, hence is a hint for the correctness of assuming a modal structure and the quality of the modal parameter identification.Lastly, with the help of the climate box, the influences of humidity and temperature on the eigenfrequencies of dummy paintings are studied.
Go to article

Bibliography

[1] M.F. Mecklenburg. Art in transit: Studies in the transport of paintings. In Proceedings of International Conference on the Packing and Transportation of Paintings, London, 1991.
[2] E. Tsiranidou, E. Bernikola, V. Tornari, T. Fankhauser, M. Läuchli, C. Palmbach, and N. Bäschlin. Holographic monitoring of transportation effects on canvas paintings. SPIE Newsroom, pages 1–3, 2011. doi: 10.1117/2.1201106.003767 .
[3] N. Hein. Die materielle Veränderung von Kunst durch Transporte–Monitoring und Transportschadensbewertung an Gemälden durch das Streifenprojektionsverfahren. Ph.D. Thesis, Staatliche Akademie der Bildenden Künste Stuttgart, Stuttgart, 2015. (in German).
[4] C. Krekel and N. Hein. Kunsttransport: Gibt es eine Grenze zwischen Schaden und beschleunigter Alterung? In Proceedings of ICOM International Council of Museums, Köln, volume 4, pages 12–17, 2014.
[5] C. Krekel and Heinemann C. Wenn Kunstwerke auf Reisen gehen: Mikroschäden mithilfe hochauflösender 3D-Modelle finden und dokumentieren. Das Magazin der Deutschen Forschungsgemeinschaft, 4:12–17, 2020. (in German).
[6] K. Kracht. Die Untersuchung des Schwingungsverhaltens von Ölgemälden in Abhängigkeit der Alterung. Ph.D. Thesis, Technische Universität, Berlin, 2011. (in German).
[7] A. Gmach. Erschütternde Umstände – Schwingungsbelastung von Kunst- und Bauwerken. M.Sc. Thesis, Technische Universität München, 2010. (in German).
[8] M. Läuchli, N. Bäschlin, A. Hoess, T. Fankhauser, C. Palmbach, and M. Ryser. Packing systems for paintings: Damping capacity in relation to transport-induced shock and vibration. In Proceedings of ICOM-CC 17th Trienniel Conference, Melbourne, pages 1–9, 15–19 Sep. 2014.
[9] K. Kracht and T. Kletschkowski. From art to engineering: a technical review on the problem of vibrating canvas part i: excitation and efforts of vibration reduction. Facta Universitatis, Series: Mechanical Engineering, 15(1):163–182, 2017. doi: /10.22190/FUME161010009K .
[10] C. Palmbach. Messung transportbedingter Schwingungen an textilen Bildträgern. M.Sc. Thesis, 2007. (in German).
[11] C. Heinemann, P. Ziegler, N. Hein, C. Krekel, and P. Eberhard. Objektiviertes Gemäldetransportmonitoring unter Berücksichtigung mechanischer Einflussfaktoren. Zeitschrift für Kunsttechnologie und Konservierung, 33(1):178–198, 2019. (in German).
[12] P.G. Chiriboga Arroyo. Finite Element Modeling of Vibrations in Canvas Paintings. Ph.D. Thesis, Delft University of Technology, Delft, 2013.
[13] S. Michalski. Paintings: Their response to temperature, relative humidity, shock, and vibration. Art in Transit: Studies in the Transport of Paintings, pages 223–248, 1991.
[14] M.F. Mecklenburg. Some aspects of the mechanical behavior of fabric supported paintings. Smithsonian Institution, 1982.
[15] E.W. Hagan, M.N. Charalambides, C.T. Young, T.J. Learner, and S. Hackney. Tensile properties of latex paint films with TiO2 pigment. Mechanics of Time-Dependent Materials, 13(2):149–161, 2009. doi: 10.1007/s11043-009-9076-y .
[16] E. Kreyszig. Advanced Engineering Mathematics. John Wiley & Sons, 10 edition, 2009.
[17] D.J. Ewins. Modal Testing: theory, practice and application. John Wiley & Sons, 2009.
[18] R.J. Allemang and D.L. Brown. A complete review of the complex mode indicator function (CMIF) with applications. In Proceedings of ISMA International Conference on Noise and Vibration Engineering, Katholieke Universiteit Leuven, Belgium, pages 3209–3246, 2006.
[19] N.R. Draper and H. Smith. Applied Regression Analysis. John Wiley & Sons, 3 edition, 1998.
Go to article

Authors and Affiliations

Yulong Gao
ORCID: ORCID
Pascal Ziegler
ORCID: ORCID
Carolin Heinemann
ORCID: ORCID
Eva Hartlieb
ORCID: ORCID
Peter Eberhard
ORCID: ORCID
Download PDF Download RIS Download Bibtex

Abstract

Integration of transport subsystems in transfer nodes of public transport in Poznań based on city railway stations, Poznań, being one of the strongest urban centers in the country, has a significant zone of impact (functional area). A natural consequence of this development model are significant communication issues caused by dynamic development of the suburban area. The solution of those issues is assumed to be basing the public communication system on a railway junction and, on its basis, creating the Poznań Metropolitan Railway. However, to ensure efficient functioning of such a system the need arises to integrate it with other systems of transport using transfer nodes. The aim of this article is to illustrate the potential of creating a polycentric system of multi-modal transfer nodes, based on existing city railway stations (district stations). The study focuses on the perspective of the passenger and the primary research method is the in-depth interview. This enabled to learn the opinion and identify the needs of passengers who use the facilities which are the subject of this study. The study also concentrated on analyzing thee communication behaviors of passengers and analyzing thee functioning of city stations themselves. Additionally, information was also acquired regarding the approximate destination of the passengers’ travel, which further allowed to specify the hypothetical impact range of individual city stations. Results of the study allowed to develop a range of recommendations intended to optimize the functioning of selected city railway stations, from a technical, as well as organization and management perspective. They have the potential to become a basis for developing a concept of sustainable public transport with a metropolitan reach.

Go to article

Authors and Affiliations

Wojciech Wachowiak
Download PDF Download RIS Download Bibtex

Abstract

In the current study, investigations are made to control the MB truck cabin interior noise by reducing noise in the transmission path. The main sources of cabin noise include the engine, exhaust system, air inlet system, driveline system, and tyres (especially at higher speeds). Furthermore, vibrations of the body and interior parts of the truck may significantly impact the overall in-cabin sound level. Noise is transmitted into the cabin via air (airborne noise) and cabin structure (structure-borne noise). In the noise treatment phase, noise transmission paths are considered. A viscoelastic layer damping material is used to reduce the vibration amplitude of the cabin back wall. The overall loss factor and vibration amplitude reduction ratio for the structure treated is calculated. Computational results are then compared with the values obtained by the experimental modal analysis results. Choosing the suitable material and thickness can significantly reduce the vibration amplitude. A sound barrier, silicon adhesive, and foam are also utilised for noise control in the transmission path. The effectiveness of the mentioned acoustic materials on cabin noise reduction is evaluated experimentally. The experimental SPL values are reported in the frequency range of 20 Hz–20 kHz based on a 1/3 octave filter. The experimental results show that using acoustics materials reduces the overall in-cabin sound level for a wide range of frequencies.
Go to article

Authors and Affiliations

Nader Mohammadi
1

  1. Department of Mechanical Engineering, Islamic Azad University, Parand Branch, Tehran, Iran
Download PDF Download RIS Download Bibtex

Abstract

This study presents an analysis of the effect of the concentrated mass on the acoustic power and the resonant frequencies of a vibrating thin circular plate. The fluid-structure interactions and the acoustic wave radiation effect have been included. The eigenfunction expansion has been used to express the transverse displacement of the plate. The appropriate number of modes is determined approximately to achieve physically correct results. Then highly accurate results are obtained numerically. The radiated acoustic power has been used to determine the resonant frequencies. The introducing of the concentrated mass is justified by modelling the added mass of the moving component of the exciter.
Go to article

Authors and Affiliations

Wojciech P. Rdzanek
1
Krzysztof Szemela
1

  1. University of Rzeszow, College of Natural Sciences, Institute of Physics, Rzeszow, Poland
Download PDF Download RIS Download Bibtex

Abstract

For Peter F. Strawson, transcendental arguments were an important part of his philosophical method, referred to as a connective analysis. Both Strawson and his critical commentators have devoted a lot of effort to determining the nature, scope and purpose of those arguments. In this text, I intend, first of all, to reconstruct and characterize the basic elements of transcendental argumentation, specifying its general form, features and purpose. Secondly, I reconstruct some of the most representative examples of this argumentation. Thirdly, I refer to the basic objections against transcendental arguments formulated in the literature. Finally, I point to a few peculiarities in those arguments, commonly omitted by commentators and interpreters. The overall message of the paper is moderately positive: transcendental arguments are a legitimate way of reasoning in philosophy, and in particular, they constitute a comprehensible and well-founded part of Strawson’s connective analysis.

Go to article

Authors and Affiliations

Mariusz Grygianiec
Download PDF Download RIS Download Bibtex

Abstract

In this paper, a new application of the Numerical Assembly Technique is presented for the balancing of linear elastic rotor-bearing systems with a stepped shaft and arbitrarily distributed mass unbalance. The method improves existing balancing techniques by combining the advantages of modal balancing with the fast calculation of an efficient numerical method. The rotating stepped circular shaft is modelled according to the Rayleigh beam theory. The Numerical Assembly Technique is used to calculate the steady-state harmonic response, eigenvalues and the associated mode shapes of the rotor. The displacements of a simulation are compared to measured displacements of the rotor-bearing system to calculate the generalized unbalance for each eigenvalue. The generalized unbalances are modified according to modal theory to calculate orthogonal correction masses. In this manner, a rotor-bearing system is balanced using a single measurement of the displacement at one position on the rotor for every critical speed. Three numerical examples are used to show the accuracy and the balancing success of the proposed method.
Go to article

Bibliography

  1.  J. Tessarzik, Flexible rotor balancing by the exact point speed influence coefficient method. Latham: Mechanical Technology Incorporated, 1972.
  2.  P. Gnielka, “Modal balancing of flexible rotors without test runs: An experimental investigation,” Journal of Vibrations, vol. 90, no. 2, pp. 152–170, 1982.
  3.  K. Federn, “Grundlagen einer systematischen Schwingungsentstörung wellenelastischer Rotoren,” VDI Bericht, vol. 24, pp.  9‒25, 1957.
  4.  A. G. Parkinson and R. E. D. Bishop, “Residual vibration in modal balancing,” Journal of Mechanical Engineering Science, vol. 7, pp. 33–39, 1965.
  5.  W. Kellenberger, “Das Wuchten elastischer Rotoren auf zwei allgemeinelastischen Lagern,” Brown Boveri Mitteilungen, vol. 54, pp. 603– 617, 1967.
  6.  A.-C. Lee, Y.-P. Shih, and Y. Kang, “The analysis of linear rotor bearing systems: A general Transfer Matrix Method,” Journal of Vibration and Accoustics, vol. 115, no. 4, pp. 490–497, 1993.
  7.  J.-S. Wu and H. M. Chou, “A new approach for determining the natural frequency of mode shapes of a uniform beam carrying any number of sprung masses,” Journal of Sound and Vibration, vol.  220, no. 3, pp. 451–468, 1999.
  8.  J.-S. Wu, F.-T. Lin, and H.-J. Shaw, “Analytical solution for whirling speeds and mode shapes of a distributed-mass shaft with arbitrary rigid disks,” Journal of Applied Mechanics, vol. 81, no. 3, pp. 034 503–1–034 503–10, 2014.
  9.  M. Klanner, M.S. Prem, and K. Ellermann, “Steady-state harmonic vibrations of a linear rotor- bearing system with a discontinuous shaft and arbitrarily distributed mass unbalance,” in Proceedings of ISMA2020 International Conference on Noise and Vibration Engineering and USD2020 International Conference on Uncertainty in Structural Dynamics, 2020, pp. 1257–1272.
  10.  M. Klanner and K. Ellermann, “Steady-state linear harmonic vibrations of multiple-stepped Euler-Bernoulli beams under arbitrarily distributed loads carrying any number of concentrated elements,” Applied and Computational Mechanics, vol. 14, no. 1, pp. 31–50, 2019.
  11.  M.B. Deepthikumar, A.S. Sekhar, and M.R. Srikanthan, “Modal balancing of flexible rotors with bow and distributed unbalance,” Journal of Sound and Vibration, vol. 332, pp. 6216‒6233, 2013.
  12.  O.A. Bauchau and J.I. Craig, Structural Analysis – With Applications to Aerospace Structures. Heidelberg: Springer Verlag, 2009.
  13.  R.E.D. Bishop and A.G. Parkinson, “On the isolation of modes in balancing of flexible shafts,” Proc. Inst. Mech. Eng., vol. 117, pp. 407– 426, 1963.
  14.  X. Rui, G. Wang, Y. Lu, and L. Yunm, “Transfer Matrix Method for linear multibody systems,” Multibody Syst. Dyn., vol.  19, pp. 179–207, 2008.
  15.  I.N. Bronstein, K.A. Semendjajew, and E. Zeidler, Taschenbuch der Mathematik. Stuttgard: Teubner, 1996.
  16.  D. Bestle, L. Abbas, and X. Rui, “Recursive eigenvalue search algorithm for transfer matrix method of linear flexible multibody systems,” Multibody Syst. Dyn., vol. 32, pp. 429–444, 2013.
  17.  B. Xu and L. Qu, “A new practical modal method for rotor balancing,” Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci., vol. 215, pp.  179–190, 2001.
  18.  J. Tessarzik, Flexible rotor balancing by the influence coefficient method. Part 1: Evaluation of the exact point speed and least squares procedure. Latham: Mechanical Technology Incorporated, 1972.
Go to article

Authors and Affiliations

Georg Quinz
1
Marcel S. Prem
1
Michael Klanner
1
ORCID: ORCID
Katrin Ellermann
1

  1. Graz University of Technology, Institute of Mechanics, Kopernikusgasse 24/IV, 8010 Graz, Austria
Download PDF Download RIS Download Bibtex

Abstract

The structural damages can lead to structural failure if they are not identified at early stages. Different methods for detecting and locating the damages in structures have been always appealing to designers in the field. Due to direct relation between the stiffness, natural frequency, and mode shapes in the structure, the modal parameters could be used for the purpose of detecting and locating the damages in structures. In the current study, a new damage indicator named “DLI” is proposed, using the mode shapes and their derivatives. A finite element model of a beam is used, and the numerical model is validated against experimental data. The proposed index is investigated for two beams with different support conditions and the results are compared with those of two well-known indices – MSEBI and CDF. To show the capability and accuracy of the proposed index, the damages with low severity at various locations of the structures containing the elements near the supports were investigated. The results under noisy conditions are investigated by considering 3% and 5% noise on modal data. The results show a high level of accuracy of the proposed index for identifying the location of the damaged elements in beams.
Go to article

Bibliography

[1] M. Dilena, M.F. Dell’Oste, and A. Morassi. Detecting cracks in pipes filled with fluid from changes in natural frequencies. Mechanical Systems and Signal Processing, 25(8):3186–3197, 2011. doi: 10.1016/j.ymssp.2011.04.013.
[2] J.M. Dulieu-Barton, W.J. Staszewski, and K. Worden. Structural Damage Assessment Using Advanced Signal Processing Procedures: Proceedings of the International Conference on Damage Assessment of Structures (DAMAS '97). Sheffield, England, 30 June - 2 July, 1997, Sheffield Academic Press, 1997,
[3] W. Xu, M. Cao, W. Ostachowicz, M. Radzieński, and N. Xia. Two-dimensional curvature mode shape method based on wavelets and Teager energy for damage detection in plates. Journal of Sound and Vibration, 347:266–278, 2015. doi: 10.1016/j.jsv.2015.02.038.
[4] D.V. Jauregui and C.R. Farrar. Damage identification algorithms applied to numerical modal data from a bridge. In: 14th International Modal Analysis Conference, Dearborn, USA, 12-15 February, 1996.
[5] N. Navabian, M. Bozorgnasab, R. Taghipour, and O. Yazdanpanah. Damage identification in plate-like structure using mode shape derivatives. Archive of Applied Mechanics, 86:819–830, 2016. doi: 10.1007/s00419-015-1064-x.
[6] N. Navabian, R. Taghipour, M. Bozorgnasab, and J. Ghasemi. Damage evaluation in plates using modal data and firefly optimisation algorithm. International Journal of Structural Engineering, 9(1):50-69, 2018. doi: 10.1504/IJSTRUCTE.2018.090750.
[7] M.M. Fayyadh, H.A. Razak, and Z. Ismail. Combined modal parameters-based index for damage identification in a beamlike structure: theoretical development and verification. Archives of Civil and Mechanical Engineering, 11(3):587–609, 2011. doi: 0.1016/S1644-9665(12)60103-4.
[8] A. Tomaszewska and M. Szafrański. Study on applicability of two modal identification techniques in irrelevant cases. Archives of Civil and Mechanical Engineering, 20:13, 2020. doi: 10.1007/s43452-020-0014-8.
[9] H. Hasni, A.H. Alavi, P. Jiao, and N. Lajnef. Detection of fatigue cracking in steel bridge girders: A support vector machine approach. Archives of Civil and Mechanical Engineering, 17(3):609–622, 2017. doi: 10.1016/j.acme.2016.11.005.
[10] J. Ciambella and F. Vestroni. The use of modal curvatures for damage localization in beam-type structures. Journal of Sound and Vibration, 340:126–137, 2015. doi: 10.1016/j.jsv.2014.11.037.
[11] D. Donskoy and D. Liu. Vibro-acoustic modulation baseline-free non-destructive testing. Journal of Sound and Vibration, 492:115808, 2021. doi: 10.1016/j.jsv.2020.115808.
[12] C.R. Farrar, S.W. Doebling, and D.A. Nix. Vibration–based structural damage identification. Philosophical Transactions of the Royal Society A. Mathematical, Physical and Engineering Sciences, 359(1778):131–149, 2001. doi: 10.1098/rsta.2000.0717.
[13] G.M. Owolabi, A.S.J. Swamidas, and R. Seshadri. Crack detection in beams using changes in frequencies and amplitudes of frequency response functions. Journal of Sound and Vibration, 265(1):1–22, 2003. doi: 10.1016/S0022-460X(02)01264-6.
[14] M.M. Fayyadh and H.A. Razak. Weighting method for modal parameter based damage detection algorithms. International Journal of Physical Sciences, 6(20):4816–4825, 2011.
[15] R.K. Behera, A. Pandey, and D.R. Parhi. Numerical and experimental verification of a method for prognosis of inclined edge crack in cantilever beam based on synthesis of mode shapes. Procedia Technology, 14:67–74, 2014. doi: 10.1016/j.protcy.2014.08.010.
[16] S. Karimi, M. Bozorgnasab, R. Taghipour, and M. M. Alipour. A novel spring-based model for damage investigation of functionally graded beams. Journal of Solid Mechanics, 2021 (in print).
[17] S.S. Rao. The Finite Element Method in Engineering, 6th edition. Butterworth-Heinemann, 2018.
[18] A.K. Pandey, M. Biswas, and M.M. Samman. Damage detection from changes in curvature mode shapes. Journal of Sound and Vibration, 145(2):321–332, 1991. doi: 10.1016/0022-460X(91)90595-B.
[19] S.M. Seyedpoor. A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization. International Journal of Non-Linear Mechanics, 47(1):1–8, 2012. doi: 10.1016/j.ijnonlinmec.2011.07.011.
[20] M.M.A. Wahab and G. De Roeck. Damage detection in bridges using modal curvatures: application to a real damage scenario. Journal of Sound and Vibration, 226(2):217–235, 1999. doi: 10.1006/jsvi.1999.2295.
[21] A. Esfandiari, F. Bakhtiari-Nejad, and A. Rahai. Theoretical and experimental structural damage diagnosis method using natural frequencies through an improved sensitivity equation. International Journal of Mechanical Sciences, 70:79–89, 2013. doi: 10.1016/j.ijmecsci.2013.02.006.
Go to article

Authors and Affiliations

Reza Taghipour
1
ORCID: ORCID
Mina Roodgar Nashta
1
ORCID: ORCID
Mohsen Bozorgnasab
2
ORCID: ORCID
Hessam Mirgolbabaei
3
ORCID: ORCID

  1. Department of Civil Engineering, University of Mazandaran, Babolsar, Iran.
  2. Department of Civil Engineering, University of Mazandaran, Babolsar, Iran
  3. Department of Mechanical and Industrial Engineering, University of Minnesota Duluth, Duluth, Minnesota, United States of America.
Download PDF Download RIS Download Bibtex

Abstract

Functionally Graded Materials (FGM) are extensively employed for hip plant component material due to their certain properties in a specific design to achieve the requirements of the hip-joint system. Nevertheless, if there are similar properties, it doesn’t necessarily indicate that the knee plant is efficiently and effectively working. Therefore, it is important to develop an ideal design of functionally graded material femoral components that can be used for a long period. A new ideal design of femoral prosthesis can be introduced using functionally graded fiber polymer (FGFP) which will reduce the stress shielding and the corresponding stresses present over the interface. Herein, modal analysis of the complete hip plant part is carried out, which is the main factor and to date, very few research studies have been found on it. Moreover, this enhances the life of hip replacement, and the modal, harmonic, and fatigue analysis determines the pre-loading failure phenomena due to the vibrational response of the hip. This study deals with the cementless hip plant applying the finite element analysis (FEA) model in which geometry is studied, and the femoral bone model is based in a 3D scan.
Go to article

Bibliography

[1] S. Gross and E.W. Abel. A finite element analysis of hollow stemmed hip prostheses as a means of reducing stress shielding of the femur. Journal of Biomechanics, 34(8):995–1003, 2001. doi: 10.1016/s0021-9290(01)00072-0.
[2] D. Lin, Q. Li, W. Li, S. Zhou, and M.V. Swain. Design optimization of functionally graded dental implant for bone remodeling. Composites Part B: Engineering, 40(7):668–675, 2009. doi: 10.1016/j.compositesb.2009.04.015.
[3] G. Jin, M. Takeuchi, S. Honda, T. Nishikawa, and H. Awaji. Properties of multilayered mullite/Mo functionally graded materials fabricated by powder metallurgy processing. Materials Chemistry and Physics, 89(2-3):238–243, 2005. doi: 10.1016/j.matchemphys.2004.03.031.
[4] E. Yılmaz, A. Gökçe, F. Findik, H.O. Gulsoy, and O. İyibilgin. Mechanical properties and electrochemical behavior of porous Ti-Nb biomaterials. Journal of the Mechanical Behavior of Biomedical Materials, 87:59–67, 2018. doi: 10.1016/j.jmbbm.2018.07.018.
[5] A.T. Şensoy. M. Çolak, I. Kaymaz, and F. Findik. Optimal material selection for total hip implant: a finite element case study. Arabian Journal for Science and Engineering, 44:10293--10301, 2019. doi: 10.1007/s13369-019-04088-y.
[6] T.A. Enab and N.E. Bondok. Material selection in the design of the tibia tray component of cemented artificial knee using finite element method. Materials and Design, 44:454–460, 2013. doi: 10.1016/j.matdes.2012.08.017.
[7] H. Weinans, R.Huiskes, and H.J. Grootenboer. The behavior of adaptive bone-remodeling simulation models. Journal of Biomechanics, 25(12):1425–1441, 1992. doi: 10.1016/0021-9290(92)90056-7.
[8] J.A. Simões and A.T. Marques. Design of a composite hip femoral prosthesis. Materials & Design, 26(5):391–401, 2005. doi: 10.1016/j.matdes.2004.07.024.
[9] S. Tyagi and S.K. Panigrahi. Transient analysis of ball bearing fault simulation using finite element method. Journal of The Institution of Engineers (India): Series C, 95:309–318, 2014. doi: 10.1007/s40032-014-0129-x.
[10] I.S. Jalham. Computer-aided quality function deployment method for material selection. International Journal of Computer Applications in Technology, 26((4):190–196, 2006. doi: 10.1504/IJCAT.2006.010764.
[11] E. Karana, P. Hekkert, and P. Kandachar. Material considerations in product design: A survey on crucial material aspects used by product designers. Materials & Design, 29(6):1081–1089, 2008. doi: 10.1016/j.matdes.2007.06.002.
[12] M.F. Ashby. Materials Selection in Mechanical Design. Butterworth-Heinemann, Oxford, 1995.
[13] C. Vezzoli and E. Manzini. Environmental complexity and designing activity. In: Design for Environmental Sustainability, pages 215–217. Springer, London, 2008. doi: 10.1007/978-1-84800-163-3_11.
[14] M. Kutz. Handbook of Materials Selection. John Wiley & Sons, New York, 2002.
[15] R.V. Rao and B.K. Patel. A subjective and objective integrated multiple attribute decision making method for material selection. Materials & Design, 31(10):4738–4747, 2010. doi: 10.1016/j.matdes.2010.05.014.
[16] X.F. Zha. A web-based advisory system for process and material selection in concurrent product design for a manufacturing environment. The International Journal of Advanced Manufacturing Technology, 25:233–243, 2005. doi: 10.1007/s00170-003-1838-0.
[17] F. Giudice, G. La Rosa, and A. Risitano. Materials selection in the Life-Cycle Design process: a method to integrate mechanical and environmental performances in optimal choice. Materials & Design, 26(1):9–20, 2005. doi: 10.1016/j.matdes.2004.04.006.
[18] F. Findik and K. Turan. Materials selection for lighter wagon design with a weighted property index method. Materials & Design, 37:470–477, 2012. doi: 10.1016/j.matdes.2012.01.016.
[19] M. İpek, İ.H. Selvi, F. Findik, O. Torkul, and I.H. Cedimoğlu. An expert system based material selection approach to manufacturing. Materials & Design, 47:331–340, 2013. doi: 10.1016/j.matdes.2012.11.060.
[20] J.A. Basurto-Hurtado, G.I. Perez-Soto, R.A. Osornio-Rios, A. Dominguez-Gonzalez, and L.A. Morales-Hernandez. A new approach to modeling the ductile cast iron microstructure for a finite element analysis. Arabian Journal for Science and Engineering, 44:1221–1231, 2019. doi: 10.1007/s13369-018-3465-y.
[21] E. Yılmaz, F. Kabataş, A. Gökçe, and F. Fındık. Production and characterization of a bone-like porous Ti/Ti-hydroxyapatite functionally graded material. Journal of Materials Engineering and Performance, 29:6455--6467, 2020. doi: 10.1007/s11665-020-05165-2.
[22] E. Yılmaz, A. Gökçe, F. Findik, and H.Ö. Gulsoy. Assessment of Ti–16Nb– xZr alloys produced via PIM for implant applications. Journal of Thermal Analysis and Calorimetry, 134:7–14, 2018. doi: 10.1007/s10973-017-6808-0.
[23] H.F. El-Sheikh, B.J. MacDonald, and M.S.J. Hashmi. Material selection in the design of the femoral component of cemented total hip replacement. Journal of Materials Processing Technology, 122(2-3):309–317, 2002. doi: 10.1016/S0924-0136(01)01128-1.
[24] T.S. Rubak, S.W. Svendsen, K. Søballe, and P. Frost. Total hip replacement due to primary osteoarthritis in relation to cumulative occupational exposures and lifestyle factors: a nationwide nested case–control study. Arthritis Care & Research, 66(10):1496–1505. doi: 10.1002/acr.22326.
[25] İ. Çelik and H. Eroğlu. Selection application of material to be used in hip prosthesis production with analytic hierarchy process. Materials Science & Engineering Technology, 48(11):1125–1132, 2017. doi: 10.1002/mawe.201700046.
[26] A. Aherwar, A. Patnaik, M. Bahraminasab, and A. Singh. Preliminary evaluations on development of new materials for hip joint femoral head. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 233(5):885–899, 2019. doi: 10.1177/1464420717714495.
[27] A. Hafezalkotob and A. Hafezalkotob. Comprehensive MULTIMOORA method with target-based attributes and integrated significant coefficients for materials selection in biomedical applications. Materials & Design, 87:949–959, 2015. doi: 10.1016/j.matdes.2015.08.087.
[28] G. Bergmann, G. Deuretzbacher, M. Heller, F. Graichen, A. Rohlmann, J. Strauss, anf G.N. Duda. Hip contact forces and gait patterns from routine activities. Journal of Biomechanics, 34(7):859–871, 2001. doi: 10.1016/s0021-9290(01)00040-9.
[29] A.Z. Şenalp, O. Kayabasi, and H. Kurtaran. Static, dynamic and fatigue behavior of newly designed stem shapes for hip prosthesis using finite element analysis. Materials and Design, 28(5):1577–1583, 2007. doi: 10.1016/j.matdes.2006.02.015.
Go to article

Authors and Affiliations

Saeed Asiri
1
ORCID: ORCID

  1. Mechanical Engineering Department, Engineering College King Abdulaziz University, Jeddah, Saudi Arabia

This page uses 'cookies'. Learn more