Advances in Acoustics and Vibration IV

The book provides readers with a snapshot of recent research and industrial trends in field of industrial acoustics and vibration. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the Fourth International Conference on Acoustics and Vibration (ICAV2022), which was organized by the Tunisian Association of Industrial Acoustics and Vibration (ATAVI) and held in hybrid format on December 1921, 2022, in and from Sousse, Tunisia. The contributions cover advances in both theory and practice in a variety of subfields, such as structural and machine dynamics and vibrations, fault diagnosis and prognosis, nonlinear dynamics, and vibration control of mechatronic systems. Further topics include fluidstructure interaction, computational vibro-acoustics, vibration field measurements, and dynamic behavior of materials. This book provides a valuable resource for both academics and professionals dealing with diverse issues in applied mechanics. By combining advanced theories with industrial issues, it is expected to facilitate communication and collaboration between different groups of researchers and technology users.

Reports on advanced methods, including AI, for modeling dynamics and vibrations Covers theoretical and experimental advances in the field of vibro-acoustics Describes a wide range of applications

Inhalt
On the vibrations of functionally gradient porous shells.- Effects of the mechanical characteristics on the dynamic behavior of a bolted structure under transient excitation.- Experimental investigation on the dynamics of a hydraulic dual tube automobile strut damper.- Numerical study of machining vibration effect on machined surface roughness in orthogonal milling.- On Vibration Effect on the electro-thermal mechanical behavior of the BGA solder joints.- Large deflection of smart magneto-electro-elastic cylindrical shell.- Analysis of nonlinear behavior of smart MEE composite plate.- Non-destructive identification of damage mechanisms in unidirectional composites by acoustic emission and machine learning-based clustering.- Mechanical behavior and damage of advanced iron-based Metal Matrix Composite under shear.