Blind modal identification for truss structures based on reduced measurements

J. Chen, N. Guo, C. Xu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

The out-put only modal identification of aerospace structural systems has attracted much attention during recent years, as input excitations can be hardly measurable for in-flight environments. This paper presents a developed blind modal identification method considering incomplete measurements. Firstly, the sparse time-frequency features of modal responses are represented as the independent sources hidden in those of the system responses which have been mapped into a time-frequency blind source separation framework through Short-time Fourier transform; then these representations can be effectively extracted by the Independent-Component-Analysis algorithm. Hence the time-domain modal responses are recovered such that the modal parameters are readily obtained. Furthermore, a new genetic algorithm called NSGA-II is introduced and an optimized sensor placement technique is established, which promises to reduce sensor-installation cost in large-scale structures. The simulation results of a fivestorey truss Finite Element Model show that the proposed optimization method is efficient for finding better sensor layouts by selecting solutions from the pareto front. The laboratory experiments of the real five-storey truss also demonstrate the availability of the method by collecting dynamic responses from optimized accelerometers and conducting blind modal identification on the complex space truss structure.

源语言英语
主期刊名Proceedings of the 7th Asia-Pacific Workshop on Structural Health Monitoring, APWSHM 2018
编辑Zhongqing Su, Shenfang Yuan, Hoon Sohn
出版商NDT.net
891-901
页数11
ISBN(电子版)9783000603594
出版状态已出版 - 2018
活动7th Asia-Pacific Workshop on Structural Health Monitoring, APWSHM 2018 - Hong Kong, 中国
期限: 12 11月 201815 11月 2018

出版系列

姓名Proceedings of the 7th Asia-Pacific Workshop on Structural Health Monitoring, APWSHM 2018

会议

会议7th Asia-Pacific Workshop on Structural Health Monitoring, APWSHM 2018
国家/地区中国
Hong Kong
时期12/11/1815/11/18

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