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Blind Modal Identification in Frequency Domain Using Independent Component Analysis for High Damping Structures with Classical Damping
Author(s) -
Yao XiaoJun,
Yi TingHua,
Qu Chunxu,
Li HongNan
Publication year - 2018
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/mice.12303
Subject(s) - modal , benchmark (surveying) , frequency domain , vibration , modal analysis , fast fourier transform , independent component analysis , operational modal analysis , modal testing , computer science , blind signal separation , identification (biology) , normal mode , fourier transform , algorithm , acoustics , mathematics , artificial intelligence , physics , telecommunications , computer vision , mathematical analysis , channel (broadcasting) , chemistry , botany , geodesy , polymer chemistry , biology , geography
Output‐only modal identification methods are practical for large‐scale engineering. Recently, independent component analysis (ICA) which is one of the most popular techniques of blind source separation (BSS) has been used for output‐only modal identification to directly separate the modal responses and mode shapes from vibration responses. However, this method is only accurate for undamped or lightly damped structures. To improve the performance of ICA for high damping structures, this article presents an extended ICA‐based method called ICA‐F, which establishes a BSS model in frequency domain. First, the basic idea of BSS and ICA applied in modal identification is introduced in detail. The free vibration responses and the correlation functions of ambient responses can be cast into the frequency‐domain BSS framework just by mapping the time history responses to frequency domain through fast Fourier transform (FFT). Then, an ICA‐based method in frequency domain called ICA‐F is proposed to accurately extract mode shapes and modal responses for both light and high damping structures. A simulated 3 degree of freedom mass‐spring system and a 4‐story simulated benchmark model developed by the IASC‐ASCE Task Group in Health Monitoring are employed to verify the effectiveness of the proposed method. The results show that the proposed method can perform accurate modal identification for both light and high damping structures. Finally, the IASC‐ASCE experimental benchmark structure is also utilized to illustrate the proposed method applied to practical structure.