Damage Identification for Beam Structures Using the Laplace Transform-Based Spectral Element Method and Strain Statistical Moment
Publication: Journal of Aerospace Engineering
Volume 31, Issue 3
Abstract
The Laplace transform-based spectral element method (LTSEM) can avoid some limitations of the conventional Fourier transform-based spectral element method (FTSEM) in handling finite-length structures, such as the wrap effect. In this paper, a damage identification technique based on the LTSEM and strain statistical moment (SSM) is proposed, which is combined with a general genetic algorithm. The dynamic responses of beam structures were first analyzed using the LTSEM and were validated by finite-element analysis results. Then, the strain statistical moment was used as the damage indicator; the damage location and severity for beam structures were numerically identified on the basis of the proposed technique. Finally, an experimental investigation for damage detection on a simply supported steel beam was also implemented. The experimental results verified that the proposed damage identification technique is feasible and has robust antinoise performance.
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Acknowledgments
The research was supported by the National Natural Science Fund of China (51278215, 51578260) and Basic Research Program of China (Contract No. 2016YFC0802002).
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Published In
Journal of Aerospace Engineering
Volume 31 • Issue 3 • May 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Apr 20, 2017
Accepted: Oct 16, 2017
Published online: Feb 10, 2018
Published in print: May 1, 2018
Discussion open until: Jul 10, 2018
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