Applied sciences

Archives of Acoustics

Description

Archives of Acoustics is an English-language peer-reviewed quarterly journal publishing original research papers from all areas of acoustics and abstracts from some specialised acoustical conferences. It gives free internet access to its full content (abstracts of research papers) to current issues.

Archives of Acoustics, the peer-reviewed quarterly journal publishes original research papers from all areas of acoustics like:

acoustical measurements and instrumentation,

acoustics of musics,

acousto-optics,

architectural, building and environmental acoustics,

bioacoustics,

electroacoustics,

linear and nonlinear acoustics,

noise and vibration,

physical and chemical effects of sound,

physiological acoustics,

psychoacoustics,

quantum acoustics,

sonochemistry,

speech processing and communication systems,

speech production and perception,

transducers,

ultrasonics,

underwater acoustics.

IMPACT FACTOR 2022: 0.9

CiteScore 2022: 2.1

SCImago Journal Rank (SJR) 2022: 0.291

Source Normalized Impact per Paper (SNIP) 2022: 0.687

Earlier issues are available on the old website http://acoustics.ippt.gov.pl/index.php/aa/issue/archive

ISSN

ISSN 0137-5075, eISSN 2300-262X

Publishers

Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics

Editorial Board

Editor-in-Chief
Andrzej Nowicki (Institute of Fundamental Technological Research PAN, Warszawa) ORCID:

0000-0002-9260-8237

Deputy Editor-in-Chief
Janusz Wójcik (Institute of Fundamental Technological Research PAN, Warszawa) ORCID:

0000-0002-6120-5195

Associate Editors

General linear acoustics and physical acoustics
• Wojciech P. Rdzanek (University of Rzeszów, Rzeszów) ORCID:

0000-0003-4328-5563
• Anna Snakowska (AGH University of Science and Technology, Kraków) ORCID:

0000-0002-8419-0205

Architectural acoustics
• Tadeusz Kamisiński (AGH University of Science and Technology, Kraków) ORCID:

0000-0002-8580-2402
• Mirosław Meissner (Institute of Fundamental Technological Research PAN, Warszawa) ORCID:

0000-0003-3885-0273

Musical acoustics and psychological acoustics
• Andrzej Miśkiewicz (The Fryderyk Chopin University of Music, Warszawa)
• Anna Preis (Adam Mickiewicz University, Poznań) ORCID:

0000-0002-9939-9722

Underwater acoustics and nonlinear acoustics
• Jacek Marszal (Gdańsk University of Technology, Gdańsk) ORCID:

0000-0002-6760-9246

Speech, Computational acoustics and signal processing
• Jędrzej Kociński (Adam Mickiewicz University, Poznań) ORCID:

0000-0001-9562-9925

Ultrasonics, transducers and instrumentation
• Krzysztof Opieliński (Wrocław University of Technology, Wrocław) ORCID: 0000-0001-9531-1562

0000-0001-9531-1562
• Janusz Wójcik (Institute of Fundamental Technological Research PAN, Warszawa) ORCID:

0000-0002-6120-5195

Sonochemistry
• Marzena Dzida (University of Silesia, Katowice) ORCID:

0000-0001-9566-4093

Electroacoustics
• Jan Żera (Warsaw University of Technology, Warszawa) ORCID:

0000-0002-2175-6910

Noise control and environmental acoustics
• Jan Andrzej Adamczyk (Central Institute for Labor Protection - National Research Institute, Warszawa)
• Grzegorz Klekot (Warsaw University of Technology, Warszawa) ORCID:

0000-0001-8469-8298
• Janusz Kompała (Central Mining Institute, Katowice) ORCID:

0000-0003-4544-0547
• Lucyna Leniowska (University of Rzeszów, Rzeszów) ORCID:

0000-0002-7994-7867
• Janusz Piechowicz (AGH University of Science and Technology, Kraków) ORCID:

0000-0002-1435-4673
• Dariusz Pleban (Central Institute for Labor Protection - National Research Institute, Warszawa) ORCID:

0000-0003-1351-9584

Journal Managing Editor
• Eliza Jezierska (Institute of Fundamental Technological Research PAN, Warszawa)

Archives of Acoustics
Institute of Fundamental Technological Research PAN
Adolfa Pawińskiego 5B
02-106 Warsaw, Poland
Phone: (48) (22) 826 12 81 ext. 206
Email: akustyka@ippt.pan.pl

Archives of Acoustics is an open access journal with all content available with no charge in full text version.

The journal content is available under the license CC BY-SA 4.0. https://creativecommons.org/licenses/by-sa/4.0/

Volumes
Instructions for authors

Select number

2024
- vol. 49
  - No 4
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Content

Archives of Acoustics | 2024 | vol. 49 | No 4

1 Contents

Archives of Acoustics | 2024 | vol. 49 | No 4

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2 Fine-Grained Recognition of Fidgety-Type Emotions Using Multi-Scale One-Dimensional Residual Siamese Network

Jiu Sun , Jinxin Zhu , Jun Shao

Archives of Acoustics | 2024 | vol. 49 | No 4 | 471–481 | DOI: 10.24425/aoa.2024.148805

Keywords: residual convolutional neural network multi-scale neural network fidgety speech emotion fine-grained emotion classification Siamese neural networks

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Abstract

Fidgety speech emotion has important research value, and many deep learning models have played a good role in feature modeling in recent years. In this paper, the problem of practical speech emotion is studied, and the improvement is made on fidgety-type emotion using a novel neural network model. First, we construct a large number of phonological features for modeling emotions. Second, the differences in fidgety speech between various groups of people were studied. Through the distribution of features, the individual features of fidgety emotion were studied. Third, we propose a fine-grained emotion classification method, which analyzes the subtle differences between emotional categories through Siamese neural networks. We propose to use multi-scale residual blocks within the network architecture, and alleviate the vanishing gradient problem. This allows the network to learn more meaningful representations of fidgety speech signal. Finally, the experimental results show that the proposed method can provide the versatility of modeling, and that fidgety emotion is well identified. It has great research value in practical applications.

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Authors and Affiliations

Jiu Sun

Jinxin Zhu

Jun Shao

School of Information Technology, Yancheng Institute of Technology, Yancheng, Jiangsu, China

3 Mismatch Negativity as a Tool to Detect the Intensity Just Noticeable Difference

Busemnaz Avsar Aksu , Didem Sahin Ceylan , Gökçe Gültekin

Archives of Acoustics | 2024 | vol. 49 | No 4 | 483–489 | DOI: 10.24425/aoa.2024.148812

Keywords: behavioral measurement intensity just noticeable difference auditory discrimination mismatch negativity loudness discrimination

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Abstract

Mismatch negativity (MMN) essentially reflects auditory change detection. Although auditory change detection can potentially be assessed through behavioral auditory testing methods, the increased reliability of objective methods, such as MMN, makes them more valuable. The aim of this study was to detect and compare the intensity just noticeable difference using the MMN and a behavioral method. The level at which the intensity difference between the frequent stimulus and the infrequent stimulus was the lowest and the MMN wave elicited was accepted as the MMN threshold. A total of 60 subjects, 30 females (mean age 21.70, SD = 1.91 years) and 30 males (mean age 22.77, SD = 3.01), aged 20–30 years, were included in the study. In the whole sample, a significant difference was found between MMN thresholds obtained from the right ear side and MMN thresholds obtained from the left ear side, regardless of sex (p < 0:05). In the comparison of the values obtained using the behavioral method and MMN, no significant difference was found for either the right or the left side in both sexes (p > 0:05). The results showed that the values determined by the behavioral method and MMN on both the right and left ear sides were similar in both sexes.

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Authors and Affiliations

Busemnaz Avsar Aksu

e-mail:

ORCID:

Didem Sahin Ceylan

e-mail:

ORCID:

Gökçe Gültekin

2 3

e-mail:

ORCID:

Department of Neuroscience, Graduate School of Health Sciences, Üsküdar University Istanbul, Turkey
Department of Audiology, Faculty of Health Sciences, Üsküdar University Istanbul, Turkey
Department of Audiology, Language and Speech Disorders, Institute of Graduate Studies, Istanbul University-Cerrahpasa Istanbul, Turkey

4 A Real-Time Key-Finding Algorithm Based on the Signature of Fifths

Paulina Kania , Dariusz Kania , Tomasz Łukaszewicz

Archives of Acoustics | 2024 | vol. 49 | No 4 | 491–505 | DOI: 10.24425/aoa.2024.148817

Keywords: music key-detection tonality music information retrieval music classification

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Abstract

The signature of fifths is a special kind of music representation technique enabling acquisition of musical knowledge. The technique is based on geometrical relationships existing between twelve polar vectors inscribed in the circle of fifths, which represent individual pitch-classes detected in a given composition. In this paper we introduce a real-time key-detection algorithm which utilizes the concept of the signature of fifths. We explain how to create the signature of fifths and how to derive its descriptors required by the algorithm, i.e., the main directed axis of the signature of fifths, the major/minor mode axis, the characteristic vector of the signature of fifths, the characteristic angle of the signature of fifths, and the angle of the major/minor mode. We performed a series of experiments to test the algorithm’s effectiveness. The results were compared with those obtained using key-detection approaches based on key-profiles. All experiments were conducted using works composed by J.S. Bach, F. Chopin, and D. Shostakovich. The distinctive features of the presented algorithm, with respect to the considered key-detection approaches, are computational simplicity and stability of the decision-making process.

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Authors and Affiliations

Paulina Kania

Dariusz Kania

Tomasz Łukaszewicz

Faculty of Physics, Adam Mickiewicz University Poznan, Poland
Faculty of Automatic Control, Electronics and Computer Science Silesian University of Technology Gliwice, Poland

5 Analysis of the Vehicle Engine Misfires using Frequency-Domain Approaches at Various RPMs with ADXL1002 Accelerometer

Muhammad Ahsan , Dariusz Bismor , Paweł Fabis

Archives of Acoustics | 2024 | vol. 49 | No 4 | 507–516 | DOI: 10.24425/aoa.2024.148813

Keywords: ADXL1002 accelerometer MEMS sensors vehicle engine vibration misfire condition fast Fourier transform envelope spectrum empirical mode decomposition

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Abstract

Vehicle engine vibration signals acquired using MEMS sensors are crucial in the diagnosis of engine malfunctions, notably misfires due to unwanted signals and external noises in the recorded vibration dataset. In this study, the ADXL1002 accelerometer interfaced with the Beaglebone Black microcontroller is employed to capture vibration signals emitted by the vehicle engine across various operational states, including unloaded, loaded, and misfire conditions at 1500 RPMs, 2500 RPMs, and 3000 RPMs. In conjunction with the acquisition of this raw vibration data, frequency-domain signal processing techniques are employed to meticulously analyze and diagnose the distinct signatures of misfire occurrences across various engine speeds and loads. These techniques encompass the fast Fourier transform (FFT), envelope spectrum (ES), and empirical mode decomposition (EMD), each tailored to discern and characterize the nuanced vibration patterns associated with misfire events at different operational conditions.

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Authors and Affiliations

Muhammad Ahsan

e-mail:

ORCID:

Dariusz Bismor

e-mail:

ORCID:

Paweł Fabis

Department of Measurements and Control Systems, Silesian University of Technology Gliwice, Poland
Faculty of Transport and Aeronautical Engineering, Department of Road Transport Silesian University of Technology Katowice, Poland

6 Feasibility of Using Wavelet Analysis and Machine Learning Method in Technical Diagnosis of Car Seats

Cezary Bartmanski , Alicja Bramorska

Archives of Acoustics | 2024 | vol. 49 | No 4 | 517–526 | DOI: 10.24425/aoa.2024.148809

Keywords: acoustic diagnostics wavelet decomposition machine learning

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Abstract

This paper presents the results of preliminary research aimed at developing a method for rapid, noncontact diagnostics of the electric drive of car seats. The method is based on the analysis of acoustic signals produced during the operation of the drive. Pattern recognition and machine learning processes were used in the diagnosis. A method of feature extraction (diagnostic symptoms) using wavelet decomposition of acoustic signals was developed. The discriminative properties of a set of diagnostic symptoms were tested using the “Classification Learner” application available in MATLAB. The obtained results confirmed the usefulness of the developed method for the technical diagnostics of car seats.

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Authors and Affiliations

Cezary Bartmanski

Alicja Bramorska

Department of Acoustics, Electronics and IT Solutions Central Mining Institute National Research Institute Katowice, Poland

7 Sound Quality Prediction Method of Dual-Phase Hy-Vo Chain Transmission System Based on MFCC-CNN and Fuzzy Generation

Jiabao Li , Lichi An , Yabing Cheng , Haoxiang Wang

Archives of Acoustics | 2024 | vol. 49 | No 4 | 527–542 | DOI: 10.24425/aoa.2024.148816

Keywords: sound quality dual-phase transmission Hy-Vo chain MFCC fuzzy generation

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Abstract

redict the sound quality of dual-phase Hy-Vo chain transmission system noise using a small sample size. Noise acquisition tests are conducted under various working conditions, followed by subjective evaluations using the equal interval direct one-dimensional method. Objective evaluations are performed using the Mel-frequency cepstral coefficient (MFCC). To understand the impact of the MFCC order and the frame number on prediction accuracy, MFCC feature maps of different specifications are analyzed. The dataset is expanded threefold using fuzzy generation with an appropriate membership degree. The convolutional neural network (CNN) is developed, utilizing MFCC feature maps as inputs and evaluation scores as outputs. Results indicate a positive correlation between the frame number and prediction accuracy, whereas higher MFCC orders introduce redundancy, reducing accuracy. The proposed CNN method outperforms three traditional machine learning approaches, demonstrating superior accuracy and resistance to overfitting.

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Authors and Affiliations

Jiabao Li

Lichi An

Yabing Cheng

Haoxiang Wang

School of Mechanical and Aerospace Engineering, Jilin University Changchun, Jilin, China

8 Combined Evaluation of Room Acoustic Descriptors in Different Structural Configurations via ODEON Simulations and Artificial Neural Networks

Eriberto Oliveira Do Nascimento , Paulo Henrique Trombetta Zannin

Archives of Acoustics | 2024 | vol. 49 | No 4 | 543–556 | DOI: 10.24425/aoa.2024.148811

Keywords: speech transmission index reverberation time artificial neural networks room acoustics ODEON simulation

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Abstract

This study evaluated the combined sensitivity analysis of several room acoustic descriptors: reverberation time (T30), center time (Ts), early decay time (EDT), definition (D50), clarity (C50), useful-to-detrimental sound ratio (U50), and speech transmission index (STI); and also it assessed how these descriptors responded jointly to different acoustic-structural factors. The first-order factors were background noise (A), acoustic ceiling tile sound absorption coefficient (B), confinement (C), and occupancy (D), along with their interaction effects. A novel method is proposed for this joint evaluation of sensitivity factors. This method involves in situ measurements and an unreplicated 24 factorial design, which has been validated by ODEON software. The significance of input factors is determined using artificial neural networks (ANN) and the modified profile method (MPM), validated by multiple linear regression (MLR). Three significant correlation groups are identified at p < 0:05: group 1 (EDT, T30, Ts), group 2 (C50, D50), and group 3 (U50, STI). The ceiling material sound absorption (B) is found to affect reverberation (groups 1 and 2), while background noise (A) impacts STI and U50. A weak correlation is found between D50 and STI. These results are confirmed by the MLR and MPM methods.

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Authors and Affiliations

Eriberto Oliveira Do Nascimento

Paulo Henrique Trombetta Zannin

Laboratory of Environmental and Industrial Acoustics and Acoustic Comfort Federal University of Paraná – UFPR Curitiba, PR, Brazil

9 Ultrasound Imaging of Nonlinear Media Response Using a Pressure-Dependent Nonlinearity Index

Andrzej Nowicki , Jurij Tasinkiewicz , Piotr Karwat , Ihor Trots , Norbert Zołek , Ryszard Tymkiewicz

Archives of Acoustics | 2024 | vol. 49 | No 4 | 557–563 | DOI: 10.24425/aoa.2024.148814

Keywords: ultrasound imaging abdominal ultrasound nonlinear propagation tissue harmonic imaging nonlinearity index

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Abstract

It has been shown that within the range of acoustic pressures used in ultrasound imaging, waveforms are distorted during propagation in tissue due to the physically nonlinear behavior of the tissue. This distortion leads to changes in the spectrum of the received ultrasound echoes, causing the transfer of signal energy from the fundamental frequency to higher harmonics. Interestingly, adipose tissue exhibits up to 50 % stronger nonlinear behavior compared to other soft tissues. The tissue nonlinearity parameter B/A is typically measured ex vivo using an ultrasound method in transmission mode, which requires extensive receiving systems. Currently, there is no improved ultrasound method for measuring the B/A nonlinearity parameter in vivo, which could be used in assessing the degree of fatty liver disease. We propose a new, simple approach to estimating nonlinear tissue properties. The proposed method involves transmitting ultrasound waves at significantly different acoustic pressures, recording echoes only in the fundamental frequency band at various depths, and introducing a nonlinearity index (NLI) based on specific echo amplitude ratios. The NLI at a given depth is calculated using the ratio of two dimensionless parameters. The first parameter is a predetermined constant obtained by dividing the total echo values from transmitting a signal at higher sound pressure by those from a signal at lower sound pressure, summed over a small tissue sample volume located near the transducer. The second parameter is calculated at a fixed distance from the transducer, determined by dividing the total echo values from transmitting a signal at higher sound pressure by those from a signal at lower pressure, summed over a small tissue volume of the tissue at that distance from the transducer. The reliability of the proposed measurements for assessing tissue nonlinearity has been substantiated through experimental confirmation of the existing correlations between the values of NLI and B/A in water, sunflower oil, and animal liver tissue samples with oil-enriched regions. The NLI was more than 15 % higher in sunflower oil than in water. The NLI in bovine liver sample below the area with injected oil (mimicking “steatosis”) was more than 35 % higher than in regions without oil. This method represents a promising modality for the nonlinear characterization of tissue regions in vivo, particularly for diagnosing fatty liver disease.

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Authors and Affiliations

Andrzej Nowicki

Jurij Tasinkiewicz

Piotr Karwat

Ihor Trots

Norbert Zołek

Ryszard Tymkiewicz

Department of Ultrasound Institute of Fundamental Technological Research Polish Academy of Sciences, Warsaw, Poland
Department of Ultrasound Institute of Fundamental Technological Research Polish Academy of Sciences Warsaw, Poland

10 Time-Domain Analysis of Echoes from Solid Spheres and Spherical Shells with Separated Transmit-Receive Configurations

Zhongkai Wang , Zilong Peng , Fulin Zhou , Liwen Tan

Archives of Acoustics | 2024 | vol. 49 | No 4 | 565–574 | DOI: 10.24425/aoa.2024.148808

Keywords: dispersion curves time-domain echoes bistatic configuration

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Abstract

The complexity of bistatic echo pulse sequences surpasses that of monostatic echo pulse sequences. Based on the scattering acoustic field of elastic spheres and spherical shells, a method is employed to calculate the time-domain echoes of solid spheres and spherical shells with transceiver separation under the condition of plane wave incidence. This is achieved by constructing the incident signal and performing a multiplication operation in the frequency domain with the target scattering acoustic field. Employing the contour integral method, we derive phase velocity and group velocity dispersion curves for circumferential waves propagating around these structures. Furthermore, under the assumption of plane wave incidence, we analyze the propagation paths of Rayleigh echoes for solid spheres and anti-symmetric Lamb waves for spherical shells. Estimation formulas for the arrival times of separated transmit-receive echoes are provided for both solid spheres and spherical shells. Our findings indicate that bistatic waves can be classified into clockwise and counterclockwise circulation patterns around the surfaces of these structures. Through a comparison with the time-angle spectrum of echoes, we demonstrate the accuracy of the proposed estimation formulas for echo arrival times. This study offers valuable insights for the identification of underwater targets.

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Authors and Affiliations

Zhongkai Wang

Zilong Peng

Fulin Zhou

Liwen Tan

School of Energy and Power Jiangsu University of Science and Technology Zhenjiang, China
State Key Laboratory of Ocean Engineering, Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration Shanghai Jiao Tong University Shanghai, China

11 Prediction Method and Characteristics of Static Acoustic Scattering for Marine Composite Propellers

Suchen Xu , Zilong Peng , Fulin Zhou , Xuhong Miu , Huicheng Ke

Archives of Acoustics | 2024 | vol. 49 | No 4 | 575–589 | DOI: 10.24425/aoa.2024.148815

Keywords: acoustic scattering characteristics composite propeller Kirchhoff approximation target strength

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Abstract

This study introduces a hybrid approach to predict the acoustic scattering characteristics of composite propellers featuring variable thickness and complex curvature. The approach combines the Kirchhoff approximation (KA), which employs an intersection algorithm (IA) for determining the thickness of discrete surface elements, with the theory of orthotropic laminate transfer matrix (OLTM). The overall scattered sound field of the target is determined by solving the reflection coefficients of each surface element. To enhance computational efficiency, the scattered sound field of a complete composite propeller is ingeniously predicted by cloning mesh topology from a single propeller blade, taking advantage of the rotation symmetry characteristics of the composite propeller. The validity of this prediction method is confirmed through the finite element method (FEM) and static acoustic scattering characteristic experiments conducted on a lake. The predicted results for the target strength (TS) of the composite propeller closely align with the FEM. Additionally, the TS and time-domain echo characteristics of the steel propeller utilizing the KA exhibit strong agreement with the experimental findings. These research findings provide a significant reference value for predicting the acoustic scattering characteristics near the stern of underwater vehicles.

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Authors and Affiliations

Suchen Xu

Zilong Peng

Fulin Zhou

Xuhong Miu

Huicheng Ke

School of Energy and Power Jiangsu University of Science and Technology Zhenjiang, China
State Key Laboratory of Ocean Engineering Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration Shanghai Jiao Tong University Shanghai, China
Unit 92578 of the People’s Liberation Army Beijing, China

12 Sound Insulation of an Acoustic Barrier with Layered Structures of Sonic Crystals – Comparative Studies of Physical and Theoretical Models

Jan Radosz

Archives of Acoustics | 2024 | vol. 49 | No 4 | 591–599 | DOI: 10.24425/aoa.2024.148810

Keywords: noise barrier sonic crystal diffuser

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Abstract

Recent years have seen a growing interest in the potential for the use of sonic crystals as noise barriers. The frequencies with the highest attenuation can be determined by assuming that an integer number of half wavelengths fits the distance between the scatterers. However, this approach limits the usefulness of sonic crystals as a viable noise barrier technology, as it necessitates a significant increase in the overall crystal size to cover a broader frequency range for noise reduction. Based on developed theoretical models, geometrical assumptions were made for the physical models of the acoustic barrier in terms of the materials used and the dimensions of structural elements. Three physical models were developed to verify the design intent. The method involved measuring the transmission loss (TL) and insertion loss (IL) of the sonic crystal structure and comparing these results with theoretical models. The aim of this work was to perform free-field measurements on a real-sized sample in order to verify the strengths and weaknesses of applying layered structures of sonic crystals based on calculations and measurements. The results of the conducted measurements showed satisfactory noise reduction by the developed physical models for key components of the analysed spectrum. It was also demonstrated that layered structures of sonic crystals can achieve greater noise reduction (up to 3.5 dB) and a wider frequency range of attenuation (up to the range of 2000 Hz–5000 Hz) compared to single-layer structures.

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Authors and Affiliations

Jan Radosz

Central Institute for Labour Protection – National Research Institute Warsaw, Poland

13 A Study of Acoustic Emission Based RA-AF Characteristics of Polypropylene Fiber-Reinforced Recycled Aggregate Concrete Under Uniaxial Compression

Daowen Zhou , Xin Yang , Yu Tang , Yutao Miao

Archives of Acoustics | 2024 | vol. 49 | No 4 | 601–612 | DOI: 10.24425/aoa.2024.148806

Keywords: polypropylene fiber-reinforced recycled aggregate concrete acoustic emission characteristics b-value RA-AF moving average

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Abstract

In order to research the acoustic emission characteristics of polypropylene fiber-reinforced recycled aggregate concrete under uniaxial load, 20 groups of test specimens with a coarse aggregate substitution rate of 25 % and 50 % are designed and fabricated to conduct the acoustic emission test under uniaxial compression, and the evolution laws of the acoustic emission b-value, the cracking modes and the acoustic emission RA-AF moving averages with time are studied. The laws of influence of the coarse aggregate substitution rate and coarse-fine polypropylene fiber on the acoustic emission b-value of RAC are discussed. The K-means clustering method is adopted for two-dimensional clustering analysis of the shear cracking and tensile cracking, and then the SVM is used to obtain the boundary between the two types of clusters. The time distribution laws of shear cracking and tensile cracking of the polypropylene fiber-reinforced recycled aggregate concrete are analyzed. The changes in the moving averages of RA and AF of RAC test specimens with time are studied, and the research indicates that as the RA value decreases, the shear cracking gradually reduces and the tensile cracking gradually increases and dominates.

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Authors and Affiliations

Daowen Zhou

1 2

Xin Yang

1 2 3

Yu Tang

1 2

Yutao Miao

School of Civil Engineering, Fujian University of Technology Fuzhou, China
Key Laboratory of Underground Engineering, Fujian University of Technology Fuzhou, China
School of Civil Engineering, Fuzhou University Fuzhou, China
Chengtong Branch, China Railway Second Group Co., Ltd. Chengdu, China

14 An Algorithm for Ultrasonic Identification of Ceramic Materials and Virtual Prototype Realization

Yu Liu , Xiping He , Shengping He

Archives of Acoustics | 2024 | vol. 49 | No 4 | 613–624 | DOI: 10.24425/aoa.2024.148803

Keywords: ceramic material ultrasonic testing ultrasonic scattering ultrasonic fingerprint virtual prototype

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Abstract

To prevent important items from being replaced by a forgery, an ultrasonic fingerprint identification algorithm is proposed and an identification program is developed. A virtual prototype for the ultrasonic identification of ceramics is developed based on an ultrasonic detection card. This virtual prototype allows for the simultaneous transmission and acquisition of signals. Numerous experimental tests were conducted using this virtual prototype. The results demonstrate that the virtual prototype achieves accurate identification of ceramics. This virtual prototype lays a good foundation for the development of intelligent, automated, integrated, and miniaturized ultrasonic identification systems.

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Authors and Affiliations

Yu Liu

Xiping He

Shengping He

Shaanxi Key Laboratory of Ultrasonic, School of Physics and Information Technology, Shaanxi Normal University, Xi’an, China
High-Tech. Institute Sichuan, Luzhou, China

15 Excitation of the Secondary Modes by the Broad Spectrum Sound in a Liquid with Relaxation Losses

Anna Perelomova

Archives of Acoustics | 2024 | vol. 49 | No 4 | 625–632 | DOI: 10.24425/aoa.2024.148804

Keywords: relaxation dispersive media acoustic heating

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Abstract

Features of nonlinear phenomena and, in particular, acoustic excitation of the entropy and relaxation modes in a liquid electrolyte with a chemical reaction are examined. The total range of frequencies of an exciter is considered, and the instantaneous dynamic equations are derived which govern perturbations in the secondary modes. The instantaneous leading-order acoustic forces of the secondary modes are evaluated. Examples of harmonic and nearly harmonic acoustic exciter are considered in detail. The difference in the nonlinear acoustic phenomena in an electrolyte and gases with relaxation mechanisms are specified and discussed.

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Authors and Affiliations

Anna Perelomova

Faculty of Applied Physics and Mathematics, Gdansk University of Technology, Gdansk, Poland

Instructions for authors

Author Guidelines
• Manuscripts intended for publication in Archives of Acoustics should be submitted in pdf format by an on-line procedure.
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o why the paper is submitted to ARCHIVES OF ACOUSTICS,
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10. Figures must be of publication quality. Each figure should be saved in separate file and captioned and numbered so that it can float. After acceptance, Authors will need to submit the original source files for all photos, diagrams and graphs in manuscript.
For diagrams and graphs vector EPS or vector PDF files are the most useful. Make sure that what you're saving is vector graphics and not a bitmap. Please also include the original data for any plots. This is particularly important if you are unable to save Excel-generated plots in vector format. Saving them as bitmaps is not useful; please send the Excel (.xls) spreadsheets instead.
Photographs should be high-quality – with resolution no lower than 300 dpi.
Pack all figure files into a single archive (zip, tar, rar or other format) and then upload on the magazine web site.