Detection of breathing cracks using physics-constrained hybrid network-Reference-Cited by-同舟云学术

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Detection of breathing cracks using physics-constrained hybrid network

Published:2024-11 Issue: Volume:281 Page:109568
ISSN:0020-7403
Container-title:International Journal of Mechanical Sciences
language:en
Short-container-title:International Journal of Mechanical Sciences

Author:

Zhao Shangyu,Cheng Changming^ORCID,Lin Miaomiao,Peng Zhike

Publisher

Elsevier BV

Reference80 articles.

1. A review of fatigue damage detection and measurement techniques;Bjørheim;Int J Fatigue,2022

2. A frequency response function-based structural damage identification method;Lee;Comput Struct,2002

3. Vibration based damage detection in composite beams under temperature variations using Poincaré maps;Manoach;Int J Mech Sci,2012

4. Corrosion fatigue crack growth prediction of bridge suspender wires using Bayesian gaussian process;Ma;Int J Fatigue,2023

5. Two-step approach for fatigue crack detection in steel bridges using convolutional neural networks;Quqa;J Civ Struct Health Monitor,2022

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