Acoustics and Vibration of Mechanical Structures—AVMS-2023 : Proceedings of the 17th AVMS, Timişoara, Romania, May 26-27, 2023 (Springer Proceedings in Physics)

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Acoustics and Vibration of Mechanical Structures—AVMS-2023 : Proceedings of the 17th AVMS, Timişoara, Romania, May 26-27, 2023 (Springer Proceedings in Physics)

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  • 製本 Hardcover:ハードカバー版/ページ数 375 p.
  • 商品コード 9783031480867

Full Description

This book presents peer-reviewed and selected papers from the 17th Conference on Acoustics and Vibration of Mechanical Structures (AVMS) held in Timisoara, Romania, on 26-27 May 2023. Internationally recognized experts share their knowledge and key findings in a broad range of topics related to acoustics and vibration of mechanical structures such as analytical, numerical and experimental techniques for noise and vibration problems, environmental and occupational noise and vibration, modelling, prediction and simulations of noise and vibration, noise and vibration control, noise and vibration attenuators. The book addresses application studies and fundamental studies as well, and it is meant for academics researchers and professionals, as well as Ph.D. students concerned with various fields of acoustics and vibration of mechanical structures.

Contents

Parametric Resonance of Electrostatically Actuated MEMS Angled Uniform Cantilever Resonators: Amplitude-Frequency Response.- The Sample Entropy of Human Knee with Osteoarthritis.- Effect of Mechanical Impact and Electromagnetic Actuation on the Nonlinear Vibration of a Beam.- Three-dimensional model of wind turbine NREL-monopile 5 MW for vibration characterisation.- Nonlinear Forced Vibration of an Axially Functionally Graded Beam under Combined Effects of an Electromagnetic Actuator and Mechanical Impact.- Dynamic behavior of vibratory system to discrete variation of viscous damping in linear viscoelastic material processing technologies.- Considerations regarding the dynamic stability in case of a damage for tower cranes.- Application of Spectral Element Method and Machine Learning Technique in the composite concrete beam damage prediction.- Analysis of a Structures with Three Identical Parts.- Measurement and prediction of highway noise - case study from Serbia.

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