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IIAV Statement on the Russian invasion of Ukraine The International Institute of Acoustics and Vibration (IIAV) wishes to express its deep concern over the humanitarian crisis resulting from the Russian invasion of the sovereign country of Ukraine and Its subsequent disastrous military operations. 07/18/2022 READ MORE »» Acoustic illusions Researchers have devised an ingenious method of using acoustics to conceal and simulate objects. 10/08/2021 READ MORE »» Built-in vibration control may help soundproof spaces A different kind of design for absorbing vibrations could help better soundproof walls and make vehicles more streamlined, a new study shows. 08/19/2021 READ MORE »»
Who We are? The purpose of the International Institute of Acoustics and Vibration (IIAV) is to advance the science of acoustics and vibration by creating an international scientific society that is responsive to the needs of scientists and engineers in all countries whose primary interests are in the fields of acoustics and vibration. The Institute cooperates with scientific societies in all countries and with other international organizations with the aim of increasing information exchange by sponsoring, cosponsoring or supporting seminars, workshops, congresses and publishing journals, newsletters and other publications. The IIAV provides a refereed journal on paper, the International Journal of Acoustics and Vibration (IJAV), electronic newsletter and the International Sound and Vibration Digest (ISVD) for all members as part of their dues. The IIAV organizes an annual premier world event, the International Congress on Sound and Vibration (ICSV), which combines all areas of acoustics, noise and vibration. The International Institute of Acoustics and Vibration is affiliated to the International Union of Theoretical and Applied Mechanics (IUTAM)	Latest IJAV articles Concepts for Frequency Sweeps and Efficient Repeated Analysis in the Context of Vibroacoustic Optimization and Uncertainty Quantification by Steffen Marburg. Volume 29, Issue 3 (2024). Slow Sound Phenomena Caused by Frame Shrinkage in Square Frame Acoustic Metafluid by Dongliang Pei, Zixian Cui, Ping Xiang, Xiaodong Ding, and Yangyang Chu. Volume 29, Issue 3 (2024). Study on Self-Learning System for Milling Chatter Feature Based on Hybrid Preprocessing Model and Improved Convolutional Clustering by Pengcheng Guo, Sijie Cai, Shuixuan Chen, Song Gao, Zhihua Zhang, and Jianyu Chen. Volume 29, Issue 3 (2024). Damage Quantification Using Mode Converted \\Guided Wave Based 1D Damage-Spectral Element by M.N.Murthy Patnaik, K. Renji and K.V. Nagendra Gopal. Volume 29, Issue 3 (2024). An Improved Rolling Bearing Fault Diagnosis Model of Long Short-Term Memory Network Based on VMD Denoised Vibration Signals by Thomas Joseph, Keerthi Krishnan K, Sudeep U, and Sidra Khanam. Volume 29, Issue 3 (2024). MORE ARTICLES »»
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