Literature DB >> 34678535

Elastic parameters characterization of multilayered structures by air-coupled ultrasonic transmission and genetic algorithm.

Victor Takahashi1, Michaël Lematre1, Jérôme Fortineau1, Marc Lethiecq1.   

Abstract

This paper describes a non-contact method to characterize isotropic and anisotropic planar multilayer structures using a genetic algorithm. The method is based on the determination of critical angles, where the maxima of the modulus of transmission coefficient of the structure appear, and which correspond to the generation of guided waves. The optimization process minimizes the error between the reference critical angles and associated amplitudes of the transmission coefficient, with the corresponding estimated ones. The estimation of elastic parameters is demonstrated for acrylic and oak plates as well as for a bi-layered structure composed of oak and a thin layer of gesso. It is shown that to obtain satisfactory optimization results, it is necessary for guided modes of higher order than the zero ones to be taken into account. Results also show that some elastic constants such as C33 and C55 retrieved from the transmission coefficient are very sensitive to the optimization.
Copyright © 2021. Published by Elsevier B.V.

Entities:  

Keywords:  Critical angles; Genetic algorithm; Guided waves; Isotropic and anisotropic structures; Optimization; Transmission coefficient

Year:  2021        PMID: 34678535     DOI: 10.1016/j.ultras.2021.106619

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  2 in total

1.  Correlation of Bone Material Model Using Voxel Mesh and Parametric Optimization.

Authors:  Kamil Pietroń; Łukasz Mazurkiewicz; Kamil Sybilski; Jerzy Małachowski
Journal:  Materials (Basel)       Date:  2022-07-25       Impact factor: 3.748

2.  On the Identification of Orthotropic Elastic Stiffness Using 3D Guided Wavefield Data.

Authors:  Adil Han Orta; Mathias Kersemans; Koen Van Den Abeele
Journal:  Sensors (Basel)       Date:  2022-07-15       Impact factor: 3.847

  2 in total

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