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.

Papers are sought that contribute to the following general topics:

dynamic testing

Latest Articles

Open Access

Articles

Article ID: 1830

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

Sound & Vibration, Vol.59, No.1, 2024; 11 Views, 5 PDF Downloads

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, 2024; 62 Views, 20 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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Open Access

Articles

Article ID: 1680

Renovation of the reverberation room at Ocean University of China based on ODEON simulation
by Liheng Shi, Ju Lin

Sound & Vibration, Vol.59, No.1, 2024; 35 Views, 6 PDF Downloads

DOI: https://doi.org/10.59400/sv1680

The reverberation room is a crucial laboratory for determining the sound absorption properties of materials. The reverberation room at the Laoshan Campus of Ocean University of China lacks complete acoustic design. Using computer-aided simulations, defects in the sound field can be clearly revealed and the design proposals’ effectiveness can be pre-validated. This study focuses on renovating the reverberation room by conducting acoustic performance tests and constructing a three-dimensional model. Leveraging the advantages of ODEON for simulating sound fields, it analyzes the uniformity of sound field diffusion, considering not only reverberation time distribution but also linear decay curves and deviations in sound pressure level distribution. Subsequently, the room undergoes simulated renovation in accordance with national standards of China and international standards, and diffusion body design schemes, including semi-cylindrical and semi-conical hard wall diffusers and suspended plexiglass diffusers, are compared through simulations to arrive at the final optimized renovation plan. The simulations show that the deviation in sound field uniformity can be reduced to less than 1.5 dB after renovation, and the reverberation time is also significantly extended. These findings can inform the actual renovation of the Laoshan Campus reverberation room and serve as a reference for other reverberation room renovations and indoor acoustic simulations.

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Open Access

Articles

Article ID: 1728

Precise PMU locations on distribution system considering power system disruptions for elegant state estimation
by Puvikko Chezhian Vgopal, Subramanian Srikrishna, Ganesan Sivarajan, Naveenkumar Kaliyan

Sound & Vibration, Vol.59, No.1, 2024; 31 Views, 46 PDF Downloads

DOI: https://doi.org/10.59400/sv1728

This study presents a novel approach to achieve complete system observability by optimizing the placement of Phasor Measuring Units (PMUs), reducing the risk of fault identification. The process considers both the redundancy and the cost of installation. The proposed solution methodology improves upon existing algorithms by utilizing the Butterfly Optimization Algorithm (BOA), which identifies optimal PMU locations. Resilient fault detection techniques are employed to detect and mitigate disruptions in the power grid swiftly. Addressing transmission line faults, the research integrates a Deep Learning Network (DLN) to enhance the state estimation process during fault conditions. Simulations of fault transients, including LG (Line-to-Ground), LLG (Line-to-Line-to-Ground), and LL (Line-to-Line) faults, are conducted using MATLAB Software. The Neural Network (NN) response is evaluated based on two key hyperparameters—the number of hidden layers and the number of neurons utilized for feature extraction. Results demonstrate the superiority of the proposed method, with approximately 85% fault detection accuracy and a system performance metric of 90%. Additionally, the processing time required for training the network is small in the order of micro seconds.

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Open Access

Articles

Article ID: 1765

Finite element modeling and vibration control of composite beams with partially covered active constrained layer damping
by Zhicheng Huang, Yang Li, Yang Cheng, Xingguo Wang

Sound & Vibration, Vol.59, No.1, 2024; 19 Views, 10 PDF Downloads

This paper analyzes the active vibration control of sandwich beams using Active Constrained Layer Damping (ACLD). The finite element model of the viscoelastic sandwich beam combines finite element method with the Golla Hughes McTavish (GHM) model, using a 2-node 8 degrees freedom element. The finite element model is validated by the first four natural frequencies of the model in the literature, and the governing equations of sandwich beams are generated based on the Hamiltonian principle. The physical space dynamic condensation technique and state space complex mode decoupling method are employed to reduce the order of the structural model. This is necessary because free degree of the finite element model is too high to directly control the structure’s vibration. It shows that the fundamental physical characteristics of the structure may remain largely unchanged while the physical and state spaces are jointly reduced. We investigated how the positions and coverages of ACLD patches impact on the active control, vibration damping of viscoelastic sandwich beams.

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Articles

Article ID: 1848

Integrating language arts and sound sciences: Enhancing medical and engineering education in the Arab World
by Heba Ahmed Aboukhousa, Belkacem Eljattari

Sound & Vibration, Vol.59, No.1, 2024; 89 Views, 31 PDF Downloads

DOI: https://doi.org/10.59400/sv1848

This paper explores the transformative potential of integrating language arts and sound sciences into medical and engineering education in the Arab world. Interdisciplinary education; a proven catalyst for enhancing creativity; problem-solving; and cultural competency; has been implemented successfully in various global contexts. This paper proposes that adopting similar interdisciplinary approaches in Arab universities can address educational gaps; better prepare students for the challenges of an increasingly complex world; and align with the region’s economic development goals. The discussion includes a review of case studies from Columbia University; Aalborg University; and Finland’s education system; along with recommendations for implementation in the Arab context. Methods for evaluating interdisciplinary success are also outlined, emphasizing the need for both qualitative and quantitative metrics.

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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 58 (2024)

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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.