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Abstract

In the work, multi-criteria optimization of phononic structures was performed to minimize the transmission in the frequency range of acoustic waves, eliminate high transmission peaks with a small half-width inside of the band gap, and what was the most important part of the work – to minimize the number of layers in the structure. Two types of the genetic algorithm were compared in the study. The first one was characterized by a constant number of layers (GACL) of the phononic structure of each individual in each population. Then, the algorithm was run for a different number of layers, as a result of which the structures with the best value of the objective function were determined. In the second version of the algorithm, individuals in populations had a variable number of layers (GAVL) which required a different type of target function and crossover procedure. The transmission for quasi-one-dimensional phononic structures was determined with the use of the transfer matrix method algorithm. Based on the research, it can be concluded that the developed GAVL algorithm with an appropriately selected objective function achieved optimal solutions in a much smaller number of iterations than the GACL algorithm, and the value of the k parameter below 1 leads to faster achievement of the optimal structure.
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Bibliography

  1.  Y. Pennec, B. Djafari-Rouhani, H. Larabi, J. Vasseur, and A.-C. Hladky-Hennion, “Phononic crystals and manipulation of sound”, Phys. Status Solidi C, vol. 6, no. 9, pp. 2080–2085, Sep. 2009, doi: 10.1002/pssc.200881760.
  2.  Y.F. Li, F. Meng, S. Li, B. Jia, S. Zhou, and X. Huang, “Designing broad phononic band gaps for in-plane modes”, Phys. Lett. A, vol. 382, no. 10, pp. 679–684, Mar. 2018, doi: 10.1016/j.physleta.2017.12.050.
  3.  W. Elmadih, W.P. Syam, I. Maskery, D. Chronopoulos, and Leach, “Multidimensional Phononic Bandgaps in ThreeDimensional Lattices for Additive Manufacturing”, Materials, vol. 12, no. 11, p. 1878, Jun. 2019, doi: 10.3390/ma12111878.
  4.  S. Garus and W. Sochacki, “High-performance quasi onedimensional mirrors of mechanical waves built of periodic and aperiodic structures”, J. Appl. Math. Comput. Mech., vol. 17, no. 4, pp. 19–24, Dec. 2018, doi: 10.17512/jamcm.2018.4.03.
  5.  Z. Zhang, X.K. Han, and G.M. Ji, “Mechanism for controlling the band gap and the flat band in three-component phononic crystals”, J. Phys. Chem. Solids, vol. 123, pp. 235–241, Dec. 2018, doi: 10.1016/j.jpcs.2018.08.012.
  6.  Y. Sun et al., “Band gap and experimental study in phononic crystals with super-cell structure”, Results Phys., vol. 13, p. 102200, Jun. 2019, doi: 10.1016/j.rinp.2019.102200.
  7.  A.H. Safavi-Naeini, J.T. Hill, S. Meenehan, J. Chan, S. Gröblacher, and O. Painter, “Two-Dimensional Phononic-Photonic Band Gap Optomechanical Crystal Cavity”, Phys. Rev. Lett., vol. 112, no. 15, p. 153603, Apr. 2014, doi: 10.1103/PhysRevLett.112.153603.
  8.  W. Sochacki, “Transmission Properties of Phononical Dodecagonal Filter”, Acta Phys. Pol. A, vol. 138, no. 2, pp. 328–331, Aug. 2020, doi: 10.12693/APhysPolA.138.328.
  9.  H. Fan, B. Xia, L. Tong, S. Zheng, and D. Yu, “Elastic Higher-Order Topological Insulator with Topologically Protected Corner States”, Phys. Rev. Lett., vol. 122, no. 20, p. 204301, May 2019, doi: 10.1103/PhysRevLett.122.204301.
  10.  M. P. Bendsøe and O. Sigmund, Topology Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.
  11.  O. Sigmund and J. Søndergaard Jensen, “Systematic design of phononic band–gap materials and structures by topology optimization”, Philos. Trans. R. Soc. London, Ser. A, vol. 361, no. 1806, pp. 1001–1019, May 2003, doi: 10.1098/rsta.2003.1177.
  12.  L. Xie, B. Xia, J. Liu, G. Huang, and J. Lei, “An improved fast plane wave expansion method for topology optimization of phononic crystals”, Int. J. Mech. Sci., vol. 120, pp. 171–181, Jan. 2017, doi: 10.1016/j.ijmecsci.2016.11.023.
  13.  Zhong Hui-Lin, Wu Fu-Gen, and Yao Li-Ning, “Application of genetic algorithm in optimization of band gap of twodimensional phononic crystals”, Acta. Phys. Sin., vol. 55, no. 1, p. 275, 2006, doi: 10.7498/aps.55.275
  14.  Z. Liu, B. Wu, and C. He, “Band-gap optimization of twodimensional phononic crystals based on genetic algorithm and FPWE”, Waves Random Complex Media, vol. 24, no. 3, pp. 286–305, Jul. 2014, doi: 10.1080/17455030.2014.901582.
  15.  X. Huang and Y.M. Xie, “Bi-directional evolutionary topology optimization of continuum structures with one or multiple materials”, Comput. Mech., vol. 43, no. 3, pp. 393–401, Feb. 2009, doi: 10.1007/s00466-008-0312-0.
  16.  H.-W. Dong, X.-X. Su, Y.-S. Wang, and C. Zhang, “Topological optimization of two-dimensional phononic crystals based on the finite element method and genetic algorithm”, Struct. Multidisc. Optim., vol. 50, no. 4, pp. 593–604, Oct. 2014, doi: 10.1007/s00158-014-1070-6.
  17.  Y. Li, X. Huang, and S. Zhou, “Topological Design of Cellular Phononic Band Gap Crystals”, Materials, vol. 9, no. 3, p. 186, Mar. 2016, doi: 10.3390/ma9030186.
  18.  G.A. Gazonas, D.S. Weile, R. Wildman, and A. Mohan, “Genetic algorithm optimization of phononic bandgap structures”, Int. J. Solids Struct., vol. 43, no. 18–19, pp. 5851–5866, Sep. 2006, doi: 10.1016/j.ijsolstr.2005.12.002.
  19.  M.I. Hussein, K. Hamza, G.M. Hulbert, R.A. Scott, and K. Saitou, “Multiobjective evolutionary optimization of periodic layered materials for desired wave dispersion characteristics”, Struct. Multidisc. Optim., vol. 31, no. 1, pp. 60–75, Jan. 2006, doi: 10.1007/s00158-005-0555-8.
  20.  K.L. Manktelow, M.J. Leamy, and M. Ruzzene, “Topology design and optimization of nonlinear periodic materials”, J. Mech. Phys. Solids, vol. 61, no. 12, pp. 2433–2453, Dec. 2013, doi: 10.1016/j.jmps.2013.07.009.
  21.  S. Hedayatrasa, M. Kersemans, K. Abhary, M. Uddin, J.K. Guest, and W. Van Paepegem, “Maximizing bandgap width and in-plane stiffness of porous phononic plates for tailoring flexural guided waves: Topology optimization and experimental validation”, Mech. Mater., vol. 105, pp. 188–203, Feb. 2017, doi: 10.1016/j.mechmat.2016.12.003.
  22.  L. Chen, Y. Guo, and H. Yi, “Optimization study of bandgaps properties for two-dimensional chiral phononic crystals base on lightweight design”, Phys. Lett. A, vol. 388, p. 127054, Feb. 2021, doi: 10.1016/j.physleta.2020.127054.
  23.  X.K. Han and Z. Zhang, “Bandgap design of three-phase phononic crystal by topological optimization”, Wave Motion, vol. 93, p. 102496, Mar. 2020, doi: 10.1016/j.wavemoti.2019. 102496.
  24.  S. Garus and W. Sochacki, “Structure optimization of quasi onedimensional acoustic filters with the use of a genetic algorithm”, Wave Motion, vol. 98, p. 102645, Nov. 2020, doi: 10.1016/j.wavemoti.2020.102645.
  25.  Y. Chen, F. Meng, G. Sun, G. Li, and X. Huang, “Topological design of phononic crystals for unidirectional acoustic transmission”, J. Sound Vib., vol. 410, pp. 103–123, Dec. 2017, doi: 10.1016/j.jsv.2017.08.015.
  26.  X.K. Han and Z. Zhang, “Topological Optimization of Phononic Crystal Thin Plate by a Genetic Algorithm”, Sci. Rep., vol. 9, no. 1, p. 8331, Dec. 2019, doi: 10.1038/s41598-019-44850-8.
  27.  Ł. Chruszczyk, “Genetic minimisation of peak-to-peak level of a complex multi-tone signal”, Bull. Pol. Acad. Sci. Tech. Sci., vol. 67, no. 3, pp. 621–629, 2019, doi: 10.24425/BPASTS.2019.129660.
  28.  M. Beniyel, M. Sivapragash, S.C. Vettivel, P. Senthil Kumar, K.K. Ajith Kumar, and K. Niranjan, “Optimization of tribology parameters of AZ91D magnesium alloy in dry sliding condition using response surface methodology and genetic algorithm”, Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 1, p. e135835, 2021, doi: 10.24425/BPASTS.2021.135835.
  29.  O. Dazel, J.-P. Groby, B. Brouard, and C. Potel, “A stable method to model the acoustic response of multilayered structures”, J. Appl. Phys., vol. 113, no. 8, p. 083506, Feb. 2013, doi: 10.1063/1.4790629.
  30.  S. Garus, W. Sochacki, and M. Bold, “Comparison of phononic structures with piezoelectric 0.62Pb(Mg1/3Nb1/3)O30.38PbTiO3 defect layers”, in Proc. Engineering Mechanics 2018, Svratka, Czech Republic, May 2018, pp. 229–232, doi: 10.21495/91-8-229.
  31.  M.M. Sigalas and C.M. Soukoulis, “Elastic-wave propagation through disordered and/or absorptive layered systems”, Phys. Rev. B, vol. 51, no. 5, pp. 2780–2789, Feb. 1995, doi: 10.1103/PhysRevB.51.2780.
  32.  P.-G. Luan and Z. Ye, “Acoustic wave propagation in a onedimensional layered system”, Phys. Rev. E, vol. 63, no. 6, p. 066611, May 2001, doi: 10.1103/PhysRevE.63.066611.
  33.  M.-I. Pop and N. Cretu, “Intrinsic transfer matrix method and split quaternion formalism for multilayer media”, Wave Motion, vol. 65, pp. 105–111, Sep. 2016, doi: 10.1016/j.wavemoti.2016.04.011.
  34.  S. Yang, W.-D. Yu, and N. Pan, “Band structure in two-dimensional fiber–air photonic crystals”, Physica B, vol. 406, no. 4, pp. 963–966, Feb. 2011, doi: 10.1016/j.physb.2010.12.039.
  35.  M. Fukuhara, X. Wang, and A. Inoue, “Acoustic analysis of the amorphous phase of annealed Zr55Cu30Ni5Al10 glassy alloy, using diffracted SH ultrasonic waves”, J. Non-Cryst. Solids, vol. 356, no. 33–34, pp. 1707–1710, Jul. 2010, doi: 10.1016/j.jnoncrysol.2010.06.025.
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Authors and Affiliations

Sebastian Garus
1
ORCID: ORCID
Wojciech Sochacki
1
ORCID: ORCID
Mariusz Kubanek
2
ORCID: ORCID
Marcin Nabiałek
3
ORCID: ORCID

  1. Faculty of Mechanical Engineering and Computer Science, Department of Mechanics and Fundamentals of Machinery Design, Czestochowa University of Technology, Dąbrowskiego 73, 42-201 Czestochowa, Poland
  2. Faculty of Mechanical Engineering and Computer Science, Department of Computer Science, Czestochowa University of Technology, Dąbrowskiego 73, 42-201 Czestochowa, Poland
  3. Faculty of Production Engineering and Materials Technology, Department of Physics, Czestochowa University of Technology, Armii Krajowej 19, 42-201 Czestochowa, Poland
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Bibliography

  1.  S. Garus et al., “Mechanical vibrations: recent trends and engineering applications”, Bull. Pol. Acad. Sci. Tech. Sci., vol. 70, no. 1, p. e140351, 2022, doi: 10.24425/bpasts.2022.140351.
  2.  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.
  3.  A. Anand, S. Pal, and S. Kundu, “Bandwidth and power enhancement in the MEMS based piezoelectric energy harvester using magnetic tip mass”, vol. 70, no. 1, p. 140149, 2022, doi: 10.24425/BPASTS.2021.140149.
  4.  P. Kwiatoń, D. Cekus, M. Sofer, and P. Sofer, “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.
  5.  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.
  6.  A. Mackojć and B. Chiliński, “Preliminary modelling methodology of a coupled payload-vessel system for offshore lifts of light and heavyweight objects”, Bull. Pol. Acad. Sci. Tech. Sci., vol. 70, no. 1, p. e139003, 2022, doi: 10.24425/bpasts.2021. 139003.
  7.  P. Bartkowski, H. Bukowiecki, F. Gawiński, and R. Zalewski, “Adaptive crash energy absorber based on a granular jamming mechanizm”, Bull. Pol. Acad. Sci. Tech. Sci., vol. 70, no. 1, p. e139002, 2022, doi: 10.24425/bpasts.2021.139002.
  8.  D. Rodak, M. Żurawski, M. Gmitrzuk, and L. Starczewski, “Possibilities of Vacuum Packed Particles application in blast mitigation seat in military armored vehicles”, vol. 70, no. 1, p. e138238, 2022, doi: 10.24425/BPASTS.2021.138238.
  9.  K. Sokół and M. Pierzgalski, “Investigations on an influence of the material properties on vibrations of active Rocker-Boogie suspension”, Bull. Pol. Acad. Sci. Tech. Sci., vol. 70, no. 1, p. e138239, 2022, doi: 10.24425/BPASTS.2021.138239.
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Authors and Affiliations

Tomasz Kapitaniak
1
ORCID: ORCID
Michal Šofer
2
ORCID: ORCID
Bartłomiej Błachowski
3
ORCID: ORCID
Wojciech Sochacki
4
ORCID: ORCID
Sebastian Garus
4
ORCID: ORCID

  1. Division of Dynamics, Lodz University of Technology, Stefanowskiego 1/15, 90-924 Łódź, 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. Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawinskiego 5b, 02-106 Warsaw, Poland
  4. Department of Mechanics and Fundamentals of Machinery Design, Faculty of Mechanical Engineering and Computer Science, Częstochowa University of Technology, al. Armii Krajowej 21, 42-201 Częstochowa, Poland
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Abstract

The study investigated the effect of the fill factor, lattice constant, and the shape and type of meta-atom material on the reduction of mechanical wave transmission in quasi-two-dimensional phononic structures. A finite difference algorithm in the time domain was used for the analysis, and the obtained time series were converted into the frequency domain using the discrete Fourier transform. The use of materials with large differences in acoustic impedance allowed to determine the influence of the meta-atom material on the propagation of the mechanical wave.
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Authors and Affiliations

Sebastian Garus
1
ORCID: ORCID
Wojciech Sochacki
1
ORCID: ORCID
Paweł Kwiatoń
1
ORCID: ORCID
Marcin Nabiałek
2
ORCID: ORCID
Jana Petrů
3
ORCID: ORCID
Mariusz Kubanek
4
ORCID: ORCID

  1. Faculty of Mechanical Engineering and Computer Science, Department of Mechanics and Fundamentals of Machinery Design, Czestochowa University of Technology, Dąbrowskiego 73, 42-201 Częstochowa, Poland
  2. Faculty of Production Engineering and Materials Technology, Department of Physics, Czestochowa University of Technology, Armii Krajowej 19, 42-201 Częstochowa, Poland
  3. Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava,70833 Ostrava, Czech Republic
  4. Faculty of Mechanical Engineering and Computer Science, Department of Computer Science, Czestochowa University of Technology, Dąbrowskiego 73, 42-201 Częstochowa, Poland
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Abstract

The study analyzed the influence of materials and different types of damping on the dynamic stability of the Bernoulli-Euler beam. Using the mode summation method and applying an orthogonal condition of eigenfunctions and describing the analyzed system with the Mathieu equation, the problem of dynamic stability was solved. By examining the influence of internal and external damping and damping in the beam supports, their influence on the regions of stability and instability of the solution to the Mathieu equation was determined.
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Authors and Affiliations

Sebastian Garus
1
ORCID: ORCID
Justyna Garus
1
ORCID: ORCID
Wojciech Sochacki
1
ORCID: ORCID
Marcin Nabiałek
2
ORCID: ORCID
Jana Petru
3
ORCID: ORCID
Wojciech Borek
4
ORCID: ORCID
Michal Šofer
5
ORCID: ORCID
Paweł Kwiatoń
1
ORCID: ORCID

  1. Faculty of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Poland
  2. Faculty of Production Engineering and Materials Technology, Department of Physics, Czestochowa University of Technology, Armii Krajowej 19, 42-201 Czestochowa, Poland
  3. Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70833 Ostrava, Czech Republic
  4. Department of Engineering Materials and Biomaterials, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland
  5. Department of Applied Mechanics, Faculty of Mechanical Engineering, VSB—Technical University of Ostrava, 17. listopadu 2172/15, 70800 Ostrava, Czech Republic
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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.
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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.
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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

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