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Physical-virtual time reversing of nonlinear Lamb waves for fatigue crack detection and quantification.

Authors :
Wang, Junzhen
Shen, Yanfeng
Rao, Danyu
Xu, Wu
Source :
Mechanical Systems & Signal Processing. Nov2021, Vol. 160, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• An analytical framework for modeling nonlinear Lamb wave propagation is constructed. • Numerical and experimental time reversing (TR) results of nonlinear Lamb waves are presented. • A new method by comparing physical-virtual TR results for fatigue crack detection is put forward. This article presents the investigation of a nonlinear Lamb wave time reversing technique for fatigue crack detection and quantification. A 2D analytical framework is initially presented, modeling Lamb wave generation, propagation, wave crack linear and nonlinear interaction, and reception. This study extends the Time Reversal (TR) techniques into the realm of nonlinear Lamb waves. Due to the structural transfer function variation between the forward and backward transmission process, the Virtual Time Reversal (VTR) algorithm reveals obvious deviation for predicting nonlinear Lamb waves, given that it replaces the backward TR procedure with the forward transfer function. However, this study demonstrates that the difference between the physical nonlinear TR method and the conventional VTR algorithm proves to be sensitive to detect and quantify fatigue cracks. Fatigue tests on a thin aluminum plate with a rivet hole are conducted to induce a fatigue crack. The experimental results further illuminate that the proposed physical-virtual nonlinear Lamb wave TR technique possesses remarkable sensitivity to the nucleation and growth of fatigue cracks. The paper finishes with discussion, concluding remarks, and suggestions for future work. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08883270
Volume :
160
Database :
Academic Search Index
Journal :
Mechanical Systems & Signal Processing
Publication Type :
Academic Journal
Accession number :
150697032
Full Text :
https://doi.org/10.1016/j.ymssp.2021.107921