Sound & Vibration

Description

Sound & Vibration is a journal intended for individuals with broad-based interests in noise and vibration, dynamic measurements, structural analysis, computer-aided engineering, machinery reliability, and dynamic testing. The journal strives to publish referred papers reflecting the interests of research and practical engineering on any aspects of sound and vibration. Of particular interest are papers that report analytical, numerical and experimental methods of more relevance to practical applications.

This journal is an indispensable reading and publishing area for all scientists, researchers, engineers, university and professional teachers, industrialists, and people in business interested in inventing, developing, implementing, commercializing, and using processes and products based totally or partly on sound and vibration.

Starting from Volume 59, 2025, Sound & Vibration will be published by Academic Publishing. As of 5 September 2024, new submissions should be made to the Open Journal Systems. To view your previous submissions, please access TSP system.

Papers are sought that contribute to the following general topics:

6. dynamic testing

Latest Articles

Open Access

Articles

Article ID: 1998

Analysis of characteristics of ground motion and typical bridge performance in the Baoshan earthquake
by Yong Huang, Liang Tian, Yachen Xie, Yuexiang Wu

Sound & Vibration, Vol.59, No.1, 2025; 33 Views, 6 PDF Downloads

DOI: https://doi.org/10.59400/sv1998

A Ms5.2 earthquake occurred in Longyang District, Baoshan City, Yunnan Province on 2 May 2023. The earthquake caused some degree of damage to power facilities and roads. Since then, small and medium sized earthquakes have occurred frequently in this region. In order to better analyze the characteristics of ground motion in this area and the coping strategies of related bridges, the response spectra, omnidirectional response spectra and omnidirectional representations of other indexes of intensity measure from records of strong ground motion were analyzed using the seismic records recorded by stations near the epicenter. Four typical bridges near the epicenter were selected for modeling and seismic response analysis to derive their damages under the action of ground motion, and structural displacements of the bridges with the strong ground motion were compared to analyze directional linkages. The Incremental Dynamic Analysis (IDA) method was used to analyze the fragility of the four bridges, and the seismic capacity of different bridges under the ground motion was compared. The omnidirectional displacement response spectra of the two stations and the omnidirectional representations of other indexes of intensity measure have obvious directionality, and the predominant direction is perpendicular to the direction of the fault, reflecting the rupture directionality of the earthquake. Comparing the corresponding period of the structural displacement response with seismic action with the omnidirectional displacement response spectra, it was found that the bridge structural displacement is correlated with the predominant cycle and predominant direction of the omnidirectional displacement response spectra. Under the same seismic action, the maximum moment of the deck arch bridge in the transverse direction is larger than that in the bridge direction; the larger the span of the deck arch bridge, the larger the maximum moment at the arch footing. According to the analysis of fragility, it can be seen that the seismic capacity of the continuous rigid frame bridge is much lower than that of the deck steel truss arch bridge under this ground motion. Compared to the deck-type concrete arch bridge, the deck steel truss arch bridge has greater seismic capacity. In this paper, based on the structural analysis and fragility analysis of these four bridges close to the fault, the structural damage and damage levels in the future earthquake are speculated, which provide suggestions for the follow-up maintenance and reinforcement work, and are also conducive to the resilience evaluation and rapid repair work after the real earthquake damage.

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Open Access

Articles

Article ID: 1839

Clear imaging beamforming method for the noise source identification in car cabin
by Yuping Wan, Jinfeng Xia, Liang Yang, Yang Yang, Zhigang Chu

Sound & Vibration, Vol.59, No.1, 2025; 161 Views, 76 PDF Downloads

DOI: https://doi.org/10.59400/sv1839

Noise in car cabin has a close relationship with ride comfort and noise control plays a key role in automobile product design. The prerequisite of noise control is to accurately identify noise sources. Due to the advantages of recording comprehensive sound field information and achieving panoramic source identification, beamforming with spherical microphone array is suitable for interior sound source identification. However, classic spherical harmonics beamforming (SHB) and filter and sum (FAS) suffer from wide mainlobes and serious sidelobe contamination. This paper proposes clear imaging beamforming method, which repeatedly removes the independent contribution of each source from SHB output based on coherence between sidelobe and mainlobe to improve imaging clarity. Simulations and experiments demonstrate that the proposed method has much clearer imaging than SHB and FAS, and could effectively identify the noise sources in car cabin.

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Open Access

Articles

Article ID: 1682

Acoustic assessment in urban residential environments: A GINI-OOB approach
by Jiayi Zhang, Xiaoli Tang, Siyu Cen

Sound & Vibration, Vol.59, No.1, 2025; 109 Views, 23 PDF Downloads

DOI: https://doi.org/10.59400/sv1682

Urban sustainable development faces significant challenges, with low Resident Value Perception (RVP) acting as a major barrier to the rapid growth and sustainability of cities. This study aims to identify the key factors influencing RVP and assess their impacts, focusing on Wuhan as the case study. An RVP indicator system is developed, integrating three dimensions, and the Fuzzy Comprehensive Evaluation-Attribute Hierarchy Model (FCE-AHM) method is employed to calculate the RVP index. Additionally, a novel GINI-out-of-bag (GINI-OOB) coupling assessment method is introduced to determine the influence of each indicator, using data from Wuhan’s 2022 social satisfaction survey in China. Special emphasis is placed on the relationship between these factors and the acoustic environment. The research findings highlight the following: (1) The proposed methodology effectively identifies the key factors influencing residents’ value perceptions and quantifies their levels of influence; (2) Hospital waiting times, housing price acceptability, and parking management emerge as the top three factors affecting residents’ value perception, with a combined GINI-OOB index score of 0.4914. Notably, parking management has a significant influence, directly exacerbating traffic noise issues. These factors collectively impact the acoustic environment, thereby influencing residents’ quality of life and overall satisfaction. This study introduces an innovative theoretical framework for evaluating urban sustainability, offering valuable insights for enhancing the assessment of residents’ value perceptions and supporting policy recommendations aimed at optimizing urban acoustic environments.

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Open Access

Articles

Article ID: 1805

Acoustic multi-objective optimization of porous media properties of a diesel particulate filter
by Sinem Ozturk, Haluk Erol

Sound & Vibration, Vol.59, No.1, 2025; 81 Views, 24 PDF Downloads

DOI: https://doi.org/10.59400/sv1805

Studies on emission control systems have proliferated because of increasing environmental regulations in recent decades. One of the most important emission control systems in vehicles is the Diesel Particulate Filter (DPF). DPFs are important for not only the harmful emission of soot particles but also acoustic emissions. In this study, the acoustic behavior of DPFs was investigated. The study presents an acoustic multi-objective optimization of the porous media properties of a DPF. The multi-objective optimization was performed using the Non-Dominated Sorting Genetic Algorithm (NSGA-II) to obtain an optimum DPF design. In this study, we aimed to maximize the acoustic transmission losses (TL) of the DPF and minimize the pressure drop according to the porous media properties. The DPF wall permeability, channel width, channel wall thickness and channel number were chosen from the porous media properties as design variables for the optimization problem. Test studies have been conducted to validate the mathematical model utilized in optimization. Following these investigations, it has been concluded that the mathematical model, verified through experimental research, is now considered a viable model for resolving the optimization problem. As a result, an optimum DPF design that provides both objective functions was proposed.

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Open Access

Articles

Article ID: 1830

Focusing properties of linear phase-conjugate array
by Jiang Liu, Sheng Li

Sound & Vibration, Vol.59, No.1, 2025; 93 Views, 30 PDF Downloads

DOI: https://doi.org/10.59400/sv1830

Phase conjugation generates a backpropagating field that refocuses on the original source, rendering it an effective technique for sound source localization. In addition, linear arrays are widely used in underwater source localization. Therefore, investigating the focusing properties of a linear phase-conjugate array is crucial. This study analyzes the backpropagating field produced by phase-conjugate arrays, proposing indicators for focus bias ( FB ), focal point size ( FS ), and sidelobe interference ( SLI ) to quantitatively characterize these properties. Numerical simulations of the focusing properties of monopole phase-conjugate (PCM), dipole phase-conjugate (PCD), and perfect phase-conjugate (PCP) arrays for a single-frequency point source are conducted to evaluate the effects of array aperture, element spacing, source-to-array distance, and source bias on the different focusing properties of each array. The results indicate that focus bias and focal point size are primarily associated with the array angular aperture (determined by array aperture, source-to-array distance, and source bias); element spacing is the primary factor influencing sidelobe interference. Under identical array configurations, the focus bias of the three phase-conjugate arrays is similar, while the PCM array exhibits the smallest focal spot size, and the PCD array displays the least sidelobe interference.

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Open Access

Articles

Article ID: 1687

Frequency formulation for nonlinear oscillators (part 1)
by Ji-Huan He

Sound & Vibration, Vol.59, No.1, 2025; 189 Views, 67 PDF Downloads

DOI: https://doi.org/10.59400/sv1687

The perturbation method is a prevalent approach for nonlinear oscillators; however, the outcomes are only applicable to situations with weak nonlinearity. Other analytical methods, such as the variational iteration method and the homotopy perturbation method, can yield a satisfactory approximate solution; however, each method necessitates the completion of multiple calculations. Hereby is recommended a one-step frequency formulation for nonlinear oscillators, and this part 1 focuses itself on odd nonlinearity.

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Editor-in-Chief

Prof. Jun Yang

Institute of Acoustics, Chinese Academy of Sciences, China

ISSN

1541 - 0161 (Print)

2693 - 1443 (Online)

Publication Frequency

Continuously

About the Publisher

Academic Publishing insists on taking academic exchange and publication as the main line, carrying out comprehensive management based on science and technology, and fully exploring excellent international publishing resources. Within 5 years, it will form a strategic framework and scale with science (S), technology (T), medicine (M), education (E), and humanities and arts (H) as the main publishing fields. Academic Publishing is headquartered in Singapore and based in Malaysia, with the United States and China providing the main scientific and academic resources. At the same time, it has established long-term good cooperative relations with other publishing companies, scientific research communities, and academic organizations in more than a dozen countries and regions. Academic Publishing uses English and Chinese as its main publishing languages, mainly publishing books, journals, and conference papers in print and online. The vast majority of publications follow the international open access policy, providing stable and long-term quality and professional publications. With the joint efforts of the expert team and our professional editorial team, our publications will gradually be indexed by international databases in stages to provide convenient and professional retrieval for various scholars. At the same time, manuscripts we accept will be subject to the peer review principle, and cutting-edge and innovative research articles will be preferentially accepted for peer reference and discussion. All kinds of our publications are welcome for peer to contribute, access, and download.

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Volume Arrangement

Vol 59 (2025)

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Featured Articles

Soundscapes in Arab Cities: A Systematic Review and Research Agenda

In the context of Arab cities, this study explores the intricate interplay between cultural, historical, and environmental elements that shape their unique soundscapes. The paper aims to shed light on this underrepresented field of study by employing a three-fold research approach: systematic review, a comprehensive literature review, and the formulation of a future research agenda. The first part of the investigation focuses on research productivity in the Arab world regarding soundscape studies. An analysis of publication trends reveals that soundscape research in Arab cities is still an emerging area of interest. Critical gaps in the existing body of literature are identified, highlighting the importance of addressing these gaps within the broader context of global soundscape research. The second part of the study delves into the distinctive features that inform the soundscapes of Arab cities. These features are categorized into three overarching groups: (i) cultural and religious life, (ii) daily life, and (iii) heritage and history, by exploring these factors, the study aims to elucidate the multifaceted nature of Arab urban soundscapes. From the resonating calls to prayer and the vibrant ambiance of traditional cafes to the bustling markets and architectural characteristics, each factor contributes to the auditory tapestry that defines Arab cities. The paper concludes with a forward-looking research agenda, proposing sixteen key questions organized into descriptive and comparative categories. These questions emphasize the need for a more profound understanding of sound perception, sources, and the impact of urban morphology on the soundscape. Additionally, they highlight the need for interdisciplinary research, involving fields such as urban planning, architecture, psychology, sociology, and cultural studies to unravel the complexity of Arab urban soundscapes.

Prediction of Sound Transmission Loss of Vehicle Floor System Based on 1D-Convolutional Neural Networks

The Noise, Vibration, and Harshness (NVH) experience during driving is significantly influenced by the sound insulation performance of the car floor acoustic package. As such, accurate and efficient predictions of its sound insulation performance are crucial for optimizing related noise reduction designs. However, the complex acoustic transmission mechanisms and difficulties in characterizing the sound absorption and insulation properties of the floor acoustic package pose significant challenges to traditional Computer-Aided Engineering (CAE) methods, leading to low modeling efficiency and prediction accuracy. To address these limitations, a hierarchical multi-objective decomposition system for predicting the sound insulation performance of the floor acoustic package has been developed based on an analysis of the noise transmission path. This approach involves introducing a 1D-Convolutional Neural Network (1D-CNN) model for predicting the sound insulation performance of the floor acoustic package, thereby avoiding the limitations of conventional CAE approaches that rely solely on “data-driven” methods. The proposed method was applied and tested using specific vehicle models, and the results demonstrated the effectiveness and superiority of the proposed approach relative to those obtained using 2D-CNN and Support Vector Regression (SVR) models.

A Sound Quality Evaluation Method for Vehicle Interior Noise Based on Auditory Loudness Model

When designing and optimizing the hull of vehicles, their sound quality needs to be considered, which greatly depends on the psychoacoustic parameters. However, the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure, even the loudness which is most related to the auditory periphery. In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality, this paper first carried out the vehicle internal noise test to obtain the experimental samples. Then, the physiological loudness was predicted based on an established human ear physiological model, and the noise evaluation vector was constructed by combining the remaining four psychoacoustic parameters. Finally, the evaluation vector was fitted into the subjective evaluation results of vehicle interior noise by a deep neural network. The results show that our proposed method can estimate the human subjective perception of vehicle interior noise well.

Prediction and Analysis of Vehicle Interior Road Noise Based on Mechanism and Data Series Modeling

Currently, the inexorable trend toward the electrification of automobiles has heightened the prominence of road noise within overall vehicle noise. Consequently, an in-depth investigation into automobile road noise holds substantial practical importance. Previous research endeavors have predominantly centered on the formulation of mechanism models and data-driven models. While mechanism models offer robust controllability, their application encounters challenges in intricate analyses of vehicle body acoustic-vibration coupling, and the effective utilization of accumulated data remains elusive. In contrast, data-driven models exhibit efficient modeling capabilities and can assimilate conceptual vehicle knowledge, but they impose stringent requirements on both data quality and quantity. In response to these considerations, this paper introduces an innovative approach for predicting vehicle road noise by integrating mechanism-driven and data-driven methodologies. Specifically, a series model is devised, amalgamating mechanism analysis with data-driven techniques to predict vehicle interior noise. The simulation results from dynamic models serve as inputs to the data-driven model, ultimately generating outputs through the utilization of the Long Short-Term Memory with Autoencoder (AE-LSTM) architecture. The study subsequently undertakes a comparative analysis between different dynamic models and data-driven models, thereby validating the efficacy of the proposed series vehicle road noise prediction model. This series model, encapsulating the rigid-flexible coupling dynamic model and AE-LSTM series model, not only demonstrates heightened computational efficiency but also attains superior prediction accuracy.