正文
《结构与土木工程前沿(英文)》 >> 2021年 第15卷 第6期 doi: 10.1007/s11709-021-0767-z
A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced composite plates using modal kinetic energy
1. Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam;2. Faculty of Civil Engineering, Ho Chi Minh City University of Transport, Ho Chi Minh City 700000, Vietnam;1. Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam;4. Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam;3. Division of Construction Computation, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam;4. Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam;1. Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam;4. Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
摘要
关键词
damage detection ; deep feed-forward neural networks ; functionally graded carbon nanotube-reinforced composite plates ; modal kinetic energy
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