Application of neural network in real-time substructure testing with shaking table - 文章详情页

作者：

Zhou, Da-Xing (Zhou, Da-Xing.) | Yan, Wei-Ming (Yan, Wei-Ming.) (学者：闫维明) | Chen, Yan-Jiang (Chen, Yan-Jiang.) (学者：陈彦江) | Tang, Zhen-Yun (Tang, Zhen-Yun.) | Li, Zhen-Bao (Li, Zhen-Bao.) (学者：李振宝)

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摘要：

Time　delay　is　an　important　studying　aspect　in　real-time　substructure　testing　with　shaking　table.　Time　delay　can　affect　accuracy　and　stability　of　a　testing　system,　and　even　cause　divergence　of　calculation　results.　In　modern　control　theory,　neural　network　is　an　effective　way　to　compensate　time　delay.　Here,　it　was　used　to　predict　a　signal　exerted　on　actuator　of　a　shaking　table.　Through　simulations,　it　was　found　that　its　effect　of　compensation　on　time　delay　is　significant.

关键词：

Structures (built objects) Time delay Neural networks

作者机构：

[ 1 ] [Zhou, Da-Xing]Beijing City Key Laboratory of Earthquake Engineering and Structure Retrofit, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Yan, Wei-Ming]Beijing City Key Laboratory of Earthquake Engineering and Structure Retrofit, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Chen, Yan-Jiang]Beijing City Key Laboratory of Earthquake Engineering and Structure Retrofit, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Tang, Zhen-Yun]Beijing City Key Laboratory of Earthquake Engineering and Structure Retrofit, Beijing University of Technology, Beijing 100124, China
[ 5 ] [Li, Zhen-Bao]Beijing City Key Laboratory of Earthquake Engineering and Structure Retrofit, Beijing University of Technology, Beijing 100124, China

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