Editorial Team

Editor-in-Chief

Jun Yang
Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China.
Interests: Noise and vibration control; Active control system; Communication acoustics; 3D audio system; Acoustic signal processing; Nonlinear acoustics
Email: jyang@mail.ioa.ac.cn

Co-Editor-in-Chief

Ji-Huan He
School of Information Engineering, Yango University, Fuzhou, Fujian, China.
Interests: Nonlinear vibration theory; MEMS system; Fractal theory; Fractional calculus; Analytical methods
Email: hejihuan@ygu.edu.cn

Associate Editors

Yan Gao
State Key Laboratory of Acoustics and Marine Information, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China.
Interests: Physical acoustics; Detection acoustics; Acoustic detection

Editorial Board Members

Yuejian Chen
Department of Mechanical Engineering, University of Manitoba, Winnipeg, Canada.
Interests: Physic informed machine learning; Vibration and acoustic analysis; Nonstationary signal processing

Zhigang Chu
State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing, China.
Interests: Vibration and noise control; Array signal processing; Independent sound zones; Sound field reconstruction

J. Paulo Davim
Department of Mechanical Engineering, University of Aveiro, Campus Santiago, Aveiro, Portugal.
Interests: Machining and tribology; Sustainable manufacturing; Industrial engineering

Guoqing Di
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Interests: Environmental acoustics; Noise and vibration control; Acoustic metamaterial; Noise assessment and perception

Zhuojia Fu
College of Mechanics and Engineering Science, Hohai University, Nanjing, Jiangsu, China.
Interests: Computational wave dynamics; Underwater acoustics; Wave metamaterials; Anti-seismic design; Structural-acoustic coupling analysis

Dipendra Gautam
Faculty of Industrial Engineering, Mechanical Engineering, and Computer Science, University of Iceland, Reykjavik, Iceland.
Interests: Signal processing; Physics-informed artificial intelligence; Damage detection; Structural/fluid dynamics and vibration; Acoustic emission

Zhixiong Gong
State Key Laboratory of Ocean Engineering, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China.
Interests: Ocean acoustics; Acoustic scattering; Acoustical tweezers; Nonlinear acoustics; Bubble acoustics

Haibo Huang
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China.
Interests: Noise and vibration control; Sound quality; Signal processing; Machine learning; Vehicle

Xiuchang Huang
State Key Laboratory of Mechanical System and Vibration, Institute of Vibration, Shock, and Noise, Shanghai Jiao Tong University, Shanghai, China.
Interests: Fluid-structure interaction; Low-noise propulsor; Dynamic modeling; Shock protection; Vibration reduction

Guoyong Jin
College of Power and Energy Engineering, Harbin Engineering University, Harbin, Heilongjiang, China.
Interests: Structural dynamics and acoustics; Vibro-acoustic modelling and analysis; Fluid-structure interaction; Active vibration and noise control

Georges Kouroussis
Faculty of Engineering, Department of Theoretical Mechanics, Dynamics and Vibrations, Université de Mons, Mons, Belgium.
Interests: Environmental impact of railway-induced vibrations; Multibody system simulation; Signal processing for vibration analysis; Soil–structure interaction; Modal analysis

Cheng Li
School of Automotive Engineering, Changzhou Institute of Technology, Changzhou, Jiangsu, China.
Interests: Vehicle dynamics and control; Nonlinear vibration; Intelligent materials and structural vibration; Metamaterials

Li Li
State Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Interests: Structural dynamics; Vibration and control; Multiscale modeling; Artificial Intelligence

Weibin Li
School of Aerospace Engineering, Xiamen University, Xiamen, Fujian, China.
Interests: Ultrasonics; Nondestructive testing; Nonlinear acoustics; Wave mechanics

Tuo Liu
Institute of Acoustics, Chinese Academy of Sciences, Beijing, China.
Interests: Physical acoustics; Acoustic artificial structures/materials; Non-Hermitian acoustics

Xinhua Long
State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Interests: Nonlinear dynamics; Vibrations; Active vibration control; Rotor dynamics

Alam Md. Mahbub
School of Robotics and Advanced Manufacturing, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Interests: Flow-induced vibrations; Structural oscillation; Energy harvesting from vibration

Jose C. Matos
Department of Civil Engineering, University of Minho, Guimarães, Portugal.
Interests: Risk management; Structural analysis; Data management; Numerical optimization; Life Cycle Costs

Van-Tu Nguyen
Ho Chi Minh City University of Technology, Vietnam National University, Ho Chi Minh City, Vietnam.
Interests: Computational Fluid Dynamics (CFD) and computational mechanics; Fluid–structure interaction and vibration; Multiphase flows and cavitation dynamics; Compressible flows, shock waves, and acoustic phenomena; Numerical modeling of flow-induced vibration and noise

Jose Ordonez-Miranda
Sorbonne Université, CNRS, Institut de Institut des Nanosciences (INSP), Paris, France.
Interests: Thermoacoustic waves; Thermoplasmonics; Thermopolaritonics; Thermoreflectance techniques; Thermoacoustic characterisation of nanomaterials

Francesco Pellicano
Department of Engineering “Enzo Ferrari”, Centre InterMech MoRe, University of Modena and Reggio Emilia, Modena, Italy.
Interests: Vibration; Stability; Nonlinear dynamics; Biomechanics

Huailong Shi
State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, Sichuan, China.
Interests: Railway vehicle dynamics; Wheel/rail interaction; Active suspension; Vibration control

Ephraim Suhir
Bell Laboratories, Murray Hill, NJ (ret), Portland State University, Portland, OR, USA.
Interests: Mechanical, reliability and aerospace engineering

Xu Sun
National Engineering Laboratory for Pipeline Safety, MOE Key Laboratory of Petroleum Engineering, China University of Petroleum-Beijing, Beijing, China.
Interests: Fluid-structure interaction; Flow-induced vibration; Acoustic-induced vibration; Nonlinear dynamics; Compuational fluid dynamics

Nikolai Ivanovich Vatin
Advanced Engineering School Digital Engineering, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation.
Interests: Structural analysis; Computer-aided engineering; Machinery reliability; Dynamic testing

Lei Wang
National Key Laboratory of Strength and Structural Integrity, Institute of Solid Mechanics, Beihang University, Beijing, China.
Interests: Computational solid mechanics; Aircraft structural dynamics; Structural optimization; Structural damage identification and health monitoring; Dynamic load identification for aircraft structures; Active vibration control

Wen Wang
Institute of Acoustics, Chinese Academy of Sciences, Beijing, China.
Interests: Surface acoustic wave; Acoustic propagation; Acoustic device; Acoustic sensors

Yansong Wang
School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China.
Interests: Vehicle noise; Vibration and harshness (NVH); Active noise and vibration control; Sound quality evaluation and control; Vehicle system dynamics

Long Wen
School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, Hubei, China.
Interests: Smart equipment; Industrial artificial intelligence; Marine intelligent equipment

Fengxian Xin
State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Interests: Wave‑dynamics of complex media; Acousto‑mechanical multi‑field coupling dynamics; Vibration and noise reduction of aerospace & deep‑sea carrier equipment; Multifunctional design of acoustic metamaterials and porous structures

Bin Xu
College of Civil Engineering, Huaqiao University, Xiamen, Fujian, China.
Interests: Structural dynamics and vibration control; Data-driven nonlinearity and damage identification; Non-destructive testing for steel-concrete composite structures; Multi-scale and multi-physics simulation; Large-scale and complex engineering structures

Chao Xu
School of Astronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Interests: Mechanical dynamics; Nonlinear vibation; Structural health monitoring

Jinyang Xu
Faculty of Intelligence Technology, Shanghai Institute of Technology, Shanghai, China.
Interests: Manufacturing processes; High-performance machining; Acoustic detection technology; Acoustic signal processing; Numerical modeling and simulation

Yi Xue
School of Civil Engineering and Architecture, Xi'an University of Technology, Xi'an, Shaanxi, China.
Interests: Rock dynamics and wave propagation in fractured media; Acoustic emission and microseismic monitoring; Dynamic fracture mechanics and damage evolution; Vibration and dynamic instability in geo-engineering structures

Zhicheng Yang
College of Urban and Rural Construction, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, China.
Interests: Nonlinear dynamics; Vibration and machine laerning; Composite structures

Davood Younesian
School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran.
Interests: Engineering acoustics; Nonlinear vibration; Metastructures; Energy harvesting; Railway noise and vibration

Bai Zhang
School of Civil and Environmental Engineering, Changsha University of Science and Technology, Changsha, Hunan, China.
Interests: Low-carbon alkali-activated materials; FRP-reinforced geopolymer-based marine concrete structures; Solid waste treatment and resource utilization

Jie Zhang
State Key Laboratory of Advanced Polymer Materials/Polymer Research Institute, Sichuan University, Chengdu, Sichuan, China.
Interests: Noise control; Composite structures; Acoustic metamaterials; Damping materials; Railway noise and vibration

Yadong Zhou
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China.
Interests: Structural dynamics; Impact dynamics; Fluid-structure coupling dynamics; Acoustics

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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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.