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Proceedings Paper

Surface crack detection for Al plate using the surface acoustic waves and neural network identification
Author(s): Jianfei Guan; Zhonghua Shen; Baiqiang Xu; Jian Lu; Xiaowu Ni
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Paper Abstract

This paper utilized the Finite Element Method to investigate the transient scattering of Rayleigh wave by a surface crack in a plate. The incident wave models the guided waves generated by a pulsed line source laser irradiation on the top surface of the plate. The pulsed laser is assumed to be transient heat source, and the surface acoustic wave is calculated based on the thermoelastic theory. We have computed the different results of the Al plates with the varied depth surface-breaking crack, then attained the temporal characteristics of reflected waves and transmitted waves which are generated by the initial surface acoustic waves interacted with the surface breaking cracks with different depth. The artificial neural networks (ANN) are applied to establish the mapping relationship between the characteristic of the reflected waveform and the crack depth. The results of crack damage detection for Al plates show that the method developed in this paper can be applied to online structural damage detection and health monitoring for various industrial structures.

Paper Details

Date Published: 13 January 2005
PDF: 9 pages
Proc. SPIE 5629, Lasers in Material Processing and Manufacturing II, (13 January 2005); doi: 10.1117/12.572871
Show Author Affiliations
Jianfei Guan, Nanjing Univ. of Science and Technology (China)
Zhonghua Shen, Nanjing Univ. of Science and Technology (China)
Baiqiang Xu, Nanjing Univ. of Science and Technology (China)
Jiangsu Univ. (China)
Jian Lu, Nanjing Univ. of Science and Technology (China)
Xiaowu Ni, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5629:
Lasers in Material Processing and Manufacturing II
ShuShen Deng; Akira Matsunawa; Y. Lawrence Yao; Minlin Zhong, Editor(s)

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