Special Issues

AI-Driven Dynamics, Vibration Control, and Reliability in NEMS and Soft Robotics
Guest Editor(s): Dr. Mohamed Arezki Mellal, Dr. Zhongcheng Liang, Dr. Osama M. Al-Habahbeh, Dr. Salah A.M. Elmoselhy (Almoslehy)
Submission Deadline: 31 December 2027

Generalized Fuzzy Decision Making Approaches for Sound, Vibration, and Reliability Engineering under Uncertainty
Guest Editor(s): Dr. Tahir Mahmood
Submission Deadline: 31 December 2027

Renewable Energy Systems: Advances in Sound, Vibration, Structural Health Monitoring, and Intelligent Diagnostics
Guest Editor(s): Dr. Hitesh Panchal
Submission Deadline: 31 August 2027

Acoustic characteristics of coal and rock during the failure process
Guest Editor(s): Prof. Dr. Gang Liu, Prof. Dr. Guangbo Chen, Prof. Dr. Yongliang He
Submission Deadline: 30 July 2027

Intelligent Systems in Sound and Vibration Analysis
Guest Editor(s): Dr. Alexey Mikhaylov
Submission Deadline: 1 June 2027

AI-Driven Symbolic Computing and Dynamic Analysis in Vibration Engineering
Guest Editor(s): Dr. Run-Fa Zhang
Submission Deadline: 6 January 2027

Low-cost sensor technologies for structural deformation monitoring
Guest Editor(s): Prof. Kamil Maciuk, Prof. Amgad Abazeed
Submission Deadline: 31 December 2026

Numerical Analysis of Acoustic-vibration Coupling Mechanism of Structure
Guest Editor(s): Dr. Cong Gao, Dr. Haichao Li, Dr. Fuzhen Pang, Dr. Yuan Du
Submission Deadline: 31 December 2026

Vibration and System Fault Analysis
Guest Editor(s): Dr. Tiejun Cui, Dr. Rui A.S. Moreira, Dr. Ge Liang, Dr. Tichun Wang, Dr. Jinxin Wang
Submission Deadline: 31 December 2026

Fault Diagnosis and Prognostics in Complex Industrial Systems
Guest Editor(s): Dr. Quan Qian, Dr. Chao He, Dr. Zhenxi Wang
Submission Deadline: 1 December 2026

Advances in Modelling and Simulation for Sound & Vibration
Guest Editor(s): Dr. Fajie Wang, Dr. António Tadeu
Submission Deadline: 1 December 2026

Using Sound and Vibration in Welding and Additive Manufacturing
Guest Editor(s): Dr. Dawei Zhao, Dr. Fabio Fernandes, Dr. Bappa Acherjee
Submission Deadline: 31 July 2026

Advances in Blast-Induced Vibrations and AI-Driven Approaches in Geotechnical Engineering
Guest Editor(s): Dr. Manoj Khandelwal, Dr. Danial Jahed Armaghani, Dr. Jian Zhou, Dr. Autar Krishen Raina
Submission Deadline: 31 July 2026

Selected Papers from the 4th International Conference on New Materials, Machinery and Vehicle Engineering (NMMVE2025)
Guest Editor(s): Dr. Jinyang Xu
Submission Deadline: 31 July 2026

Advanced Techniques and Applications Based on Sound and Vibration
Guest Editor(s): Prof. Jun Ye, Prof. Rui Yong
Submission Deadline: 20 July 2026

AI-Driven Vibration and Acoustic Signal Processing & Intelligent Detection
Guest Editor(s): Dr. Chao Lian, Dr. Xiaopeng Sha, Dr. Xiaoyong Lyu
Submission Deadline: 30 June 2026

Non-Destructive Acoustic Emission Techniques and Vibration-Informed Data-Driven Methods for Damage Detection in Marine Concrete Structures
Guest Editor(s): Dr. Bai Zhang, Dr. Yao-Rong Dong
Submission Deadline: 30 June 2026

Resilient Structures and Infrastructures under Dynamic Loads: Vibration Control, Seismic Performance, and Soil-Structure Interaction
Guest Editor(s): Dr. Davide Forcellini
Submission Deadline: 30 June 2026

Self-powered acoustic device and acoustic energy harvesting
Guest Editor(s): Dr. Ming Yuan
Submission Deadline: 30 May 2026

Sound aided vibration-based advanced fault diagnosis methods of machines
Guest Editor(s): Dr. Zijian Qiao
Submission Deadline: 30 April 2026

Advanced Acoustic and Vibrational Technologies for Next-Generation Wireless Systems
Guest Editor(s): Prof. Jinfeng Li
Submission Deadline: 30 April 2026

Analysis and Control of Vibration for Offshore Wind Turbine
Guest Editor(s): Prof. Sudip Basack, Prof. Elena Lucchi
Submission Deadline: 30 April 2026

Sound and Vibration in Mining Engineering and Rock Mechanics Laboratory Tests
Guest Editor(s): Dr. Qing Ma, Dr. Pengjin Yang, Dr. Deyuan Fa, Dr. Huicong Xu, Dr. Qiang Fu
Submission Deadline: 30 April 2026

Sound & Vibration in Civil Engineering: From Material Assessment to Structural Dynamics
Guest Editor(s): Dr. Li Li, Dr. Yang Zhang
Submission Deadline: 1 April 2026

Advanced Sound & Vibration Technologies and Smart Engineering Applications Driven by AI and IoT
Guest Editor(s): Dr. Shih-Lin Lin
Submission Deadline: 31 March 2026

Advancement in Noise and Vibration Control in Marine Engineering: Numerical Modelling and Innovative Systems and Materials
Guest Editor(s): Dr. RTD-A Giada Kyaw Oo D’Amore, Dr. Marco Biot, Dr. Giovanni Rognoni
Submission Deadline: 10 March 2026

Mobile Health Analytics Enabled by Wearable Vibro-Acoustics and Edge AI
Guest Editor(s): Dr. Ghanshyam G. Tejani, Dr. Sunil Kumar Sharma
Submission Deadline: 10 March 2026

Advanced and Emerging Nondestructive Testing Methods based on Acoustics and Ultrasonic
Guest Editor(s): Prof. Jun Chen, Dr. Chenglong Yang, Dr. Lunan Wei
Submission Deadline: 28 February 2026

Advanced Monitoring and Behavior of Engineering Materials and Structures under Extreme Conditions
Guest Editor(s): Prof. Hongen Zhang
Submission Deadline: 28 February 2026

Respiratory Acoustics & Biomechanical Vibrations: Analysis, Modeling, and Engineering Application
Guest Editor(s): Dr. Ramesh K. Agarwal, Dr. Yuanming Huo, Dr. Gabriel Xiao-Guang Yue
Submission Deadline: 21 February 2026

Tranquil Area Observations: Towards Natural and Social Sustainability
Guest Editor(s): Dr. Xinchen Hong, Dr. Xiaoqing Xu
Submission Deadline: 31 January 2026

The Role of Plants in Sound and Vibration Mitigation
Guest Editor(s): Dr. Mario Pagano, Dr. Francesco Belli
Submission Deadline: 30 January 2026

Recent Developments in Structural Dynamics and Integrity Assessment
Guest Editor(s): Dr. Ramazan-Ali Jafari-Talookolaei, Prof. Paolo Sebastiano Valvo, Dr. Reza Haghani
Submission Deadline: 31 December 2025

Adaptive Monitoring and Diagnosis of Service Status of High-end Equipment
Guest Editor(s): Dr. Haiyang Pan, Dr. Jian Cheng, Dr. Xin Li
Submission Deadline: 31 December 2025

Editor-in-Chief

Prof. Jun Yang

Institute of Acoustics, Chinese Academy of Sciences, China

ISSN

1541-0161 (Print)

2693-1443 (Online)

Publication Frequency

Bi-monthly

Indexing

Web of Science Coverage

Emerging Sources Citation Index (IF 4.2, Q1)

Elsevier Solutions

Scopus (2025 CiteScore 2.0);

Portico, etc.

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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Member of ASC

Volume Arrangement

Featured Articles

New scaling of critical damping and reduced frequency for mechanically excited systems

This paper introduces a universal framework for understanding the vibration responses of systems subjected to harmonic excitation. By examining a simplified cylinder-spring-damper model, the study refurbishes traditional scaling methods for the excitation frequency ratio and critical damping ratio. The findings indicate that in damped systems, the maximum amplitude of vibration does not align with the natural frequency. This observation leads to the introduction of a new scaling method for reduced frequency. This new approach aligns resonance peaks at the new reduced velocity of 1.0 across different damping ratios, providing a consistent characterization of vibration behavior. A new critical damping ratio of 0.707 is identified for an excited system as opposed to the traditional damping ratio of 1.0 for an unexcited system. Key properties such as maximum amplitude, phase lag, bandwidth, and quality factor are analyzed, demonstrating that the proposed reduced frequency and critical damping ratio effectively capture the dynamics of both damped and undamped excited systems. The findings offer significant insights for practical applications in engineering and various scientific fields.

Ultrasonic wave velocity as a universal metric for defect detection in timber structures: A case study on Japanese cedar wood (Cryptomeria japonica)

This study makes significant contributions to the field of ultrasonic testing (UT) by offering a novel approach to the identification of artificially introduced defects within Japanese cedar wood (Cryptomeria japonica). The findings are of particular relevance for the heritage conservation and construction sectors, where non-invasive defect detection is paramount. The study establishes a robust framework for assessing the structural integrity of timber by correlating ultrasonic wave velocity reductions with defect size and distribution. Big-sized defects led to more substantial decreases in wave velocity. The study establishes a robust framework for assessing the structural integrity of historical timber by correlating ultrasonic wave velocity reductions with defect size and distribution. This framework has the potential to be applicable to diverse wood species and defect types.

Vehicle structural road noise prediction based on an improved Long Short-Term Memory method

The control of vehicle interior noise has become a critical metric for assessing noise, vibration, and harshness (NVH) in vehicles. During the initial phases of vehicle development, accurately predicting the impact of road noise on interior noise is essential for reducing noise levels and expediting the product development cycle. In recent years, data-driven methods based on machine learning have gained significant attention due to their robust capability in navigating complex data mapping relationships. Notably, surrogate models have demonstrated exceptional performance in this domain. Numerous researchers have integrated diverse intelligent algorithms into the study of vehicle noise, leveraging advantages such as the elimination of precise modeling requirements, extensive solution space exploration, continuous learning from data, and robust algorithmic versatility. However, in NVH engineering applications, data-driven models face inherent limitations, particularly in interpretability and stability. To address these issues, this paper introduces an improved Long Short-Term Memory (LSTM) network that combines knowledge and data. Inspired by the physical information neural network concept, this approach incorporates values calculated through empirical formulas into the neural network as constraints. Comparative assessments with traditional LSTM networks highlight the advantages of this deep learning model. By integrating empirical formulas constraints, the model not only enhances interpretability but also achieves robust generalization with fewer data samples. The proposed method is validated on a specific vehicle model, showing significant improvements in prediction accuracy and efficiency.