Special Issues

Sound and Vibration publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic. The journal’s Editor-in-Chief and/or designated EBM will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. For any inquiries related to a Special Issue, please contact the Editorial Office.

Advances and Applications in Vibration Engineering and Structural Dynamics
edited by Wael A. Altabey
submission deadline 30 June 2025
Keywords: structural dynamics; structural health monitoring; structural control; vibration engineering; passive and active systems; seismic response; seismic isolation; seismic design; soil dynamics; signal processing; soft computing techniques in structural dynamics; repair and strengthening of structures; sensors and actuators; damper device; composite structures; energy hrvesting; artificial intelligence; damage detection; system identification; machine learning; sensor placement; intelligent structure systems

Acoustics, Vibration, and AI: Next-Generation Solutions for Advanced Modeling
edited by Waqar Riaz and Muhammad Kamran Joyo
submission deadline 29 October 2025
Keywords: deep learning for acoustic modeling; machine learning for vibration analysis; AI-powered ultrasonic welding inspection; AI-driven defect detection in manufacturing; acoustic pattern recognition with ML/DL; predictive maintenance using AI and ML; real-time acoustic sensing with AI; intelligent manufacturing with deep learning; vibration monitoring using AI models; advanced AI solutions for sound and vibration systems

Research of Vibration Analysis and Structural Dynamics
edited by Biao Xiang
submission deadline 30 September 2025
Keywords: structural health monitoring; active vibration control; vibration isolation; vibration measurement; signal processing of vibration

Structural Health Monitoring
edited by Parsa Ghannadi, Seyed Sina Kourehli and Erkan Oterkus
submission deadline 30 September 2025
Keywords: digital twin; peridynamics; modal analysis; real-time monitoring; non-destructive testing; time-frequency analysis; machine learning in SHM; optimal sensor placement; uncertainty quantification; frequency domain analysis; operational modal analysis; finite element model updating; optimization algorithms in damage detection; damage detection based on incomplete measurements

Applications of Harmonic Analysis in Sound and Vibration
edited by Ferit Gürbüz
submission deadline 31 August 2025
Keywords: applied mathematics; approximation theory; complex analysis; control and optimization; dynamical systems; fixed point theory; functional analysis and operator theory; fourier analysis; mathematical physics; numerical analysis; partial differential equations; real and harmonic analysis; special functions

Environmental Noise and Health
edited by Guoqing Di, Qi Meng and Hequn Min
submission deadline 31 August 2025
Keywords: environmental noise; health impacts; psychological and physiological effects; noise mitigation strategies; noise assessment; technological innovations in noise and vibration control; soundscape

Sustainable Acoustic Materials for Noise Reduction and Control
edited by Xiaoning Tang
submission deadline 31 August 2025
Keywords: acoustic materials; sound absorption; sound insulation; sustainability

Noise, Vibration and Signal Processing in Aerospace Engineering
edited by Yisheng Zheng, Yapeng Li, Peng Zhou and Huageng Luo
submission deadline 30 July 2025
Keywords: vibro-acoustics of aircrafts; noise control of aircrafts; dynamic design of aircrafts; thin-walled metastructures; active and passive metastructures; signal processing; fault diagnosis of aeroengines; vibration and acoustic sensors; nonlinear vibration control; vibration isolation and absorption; active vibration and noise control

Emerging Technologies for Monitoring and Analyzing Sound and Vibration
edited by Vijayakumar Varadarajan, Tao Zhang, Peter Appiahene and Stephen Afrifa
submission deadline 28 July 2025
Keywords: acoustic sensors; predictive maintenance; machine learning; real-time data processing; multi-sensor fusion; structural health monitoring; artificial intelligence

Harnessing Sound and Vibrations for Enhanced Communication in Sensor Networks
edited by Nitin Goyal, Monika and Pooja Sharma
submission deadline 25 June 2025
Keywords: acoustic transmission protocols; vibration-based data delivery; energy-efficient sensor and interaction; innovative methods and algorithms for mitigating interference; hybrid systems; implementations in smart infrastructure and IoT

Optimizing the Low Frequency Response of Low Frequency Playback Systems
edited by Todd Welti
submission deadline 30 May 2025
Keywords: modes; low frequency; room acoustics; subwoofers

Vibration-based and Acoustic-based Machine Condition Monitoring and Fault Diagnosis: Developments and Challenges
edited by Muhammad Irfan and Adam Glowacz
submission deadline 30 May 2025
Keywords: acoustic and vibration sensing; acoustic and vibration emissions; acoustic sensors; machine condition monitoring; acoustics, speech and signal processing; acoustic evaluation of faults in electrical machines; anomalous sound detection; signal processing of audio and acoustics; sound dataset; malfunctioning industrial machine investigation and inspection; detection and classification of acoustic scenes and events; industrial sound analysis

Voretx Induced Vibration
edited by Iman Farahbakhsh and Kumars Mahmoodi
submission deadline 1 May 2025
Keywords: vortex-induced vibration (VIV); fluid-structure interaction (FSI); experimental methods in VIV; numerical simulations of VIV; theoretical analysis of VIV; VIV control and mitigation; structural integrity and fatigue; noise and vibration analysis; offshore engineering; civil and aerospace engineering; multi-physics and multi-scale modeling; case studies in VIV applications

Vehicle Interior Noise Control and Sound Design Technologies
edited by Jianwang Shao and Guoming Deng
submission deadline 30 April 2025
Keywords: vehicle interior noise; passive and active noise control; engine/motor/road/wind noise; acoustic metamaterials; theoretical/numerical/experimental analysis; sound design technologies; robutness control and efficiency; intelligent control techniques

Recent Progress in Underwater Acoustics and Related Signal Processing Methods
edited by Yubo Qi, Jin Bao and Changpeng Liu
submission deadline 28 February 2025
Keywords: ship noise pollution; sound propagation in underwater; target detection and estimation; source localization; geoacoustic inversion; ocean environmental noise; underwater acoustics; array signal processing; deep sea acoustics; arctic acoustics; sound source localization; ocean environment inversion

Sound Signal Processing and Its Applications
edited by Shuo-Tsung Chen
submission deadline 31 January 2025
Keywords: audio analysis; speech recognition; music processing; audio enhancement technology

Enhancing the Performance of Unmanned Systems through Acoustics and Vibration Technologies
edited by Shubo Wang
submission deadline 31 December 2024
Keywords: unmanned systems; embodied intelligence; UGV; UAV; perception; decision-making; sound sensor

Noise Emitted from Ships: Impact Inside and Outside the Vessels
edited by Luigia Mocerino and Massimo Viscardi
submission deadline 31 December 2024
Keywords: ship noise pollution; environmental impact of ship noise; effects of ship noise on marine fauna; human health impacts of ship noise; ship noise regulation and mitigation; ship noise reduction technologies
ship noise management; ship noise policies; propeller noise and hull noise; underwater sound transmission; factors affecting ship noise propagation; ship noise propagation models; silencers and other noise reduction devices; anti-friction lubricants and coatings; low-noise navigation operations; ship noise measurement; ship noise prediction models; effects of ship noise on marine fauna; human health impacts of ship noise; ship noise reduction technologies; ship noise mitigation strategies

Development and Progress in Aeroacoustic Noise Reduction (closed)
edited by Liuxian Zhao, Mostafa Ranjbar and Zhaoyong Sun
submission deadline 30 September 2024
Keywords: aeroacoustics; noise reduction; acoustics; fluids

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)

more issues

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.