Automatic modal identification via eigensystem realization algorithm with improved stabilization diagram technique

被引:19
作者
Feng, Wen -Hai [1 ]
Wu, Chao -Yuan [1 ]
Fu, Ji-Yang [1 ]
Ng, Ching-Tai [2 ]
He, Yun-Cheng [1 ]
机构
[1] Guangzhou Univ, Res Ctr Wind Engn & Engn Vibrat, Guangdong, Peoples R China
[2] Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA, Australia
基金
中国国家自然科学基金;
关键词
Eigensystem realization algorithm; Automatic modal identification; Stabilization diagram; Cluster; Time-varying properties identification; PARAMETER-IDENTIFICATION; TYPHOON; ERA;
D O I
10.1016/j.engstruct.2023.116449
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Efficient and automatic identification of modal parameters becomes increasingly important for real-time structural health monitoring (SHM) of civil structures. As spurious modes usually exist as a key problem for most output-based identification methods, great efforts have been made to eliminate them typically via stabilizationdiagram techniques. However, the quality of traditional stabilization diagrams depends on preset parameters whose values usually vary from one case to another, which makes the method to be less objective and low efficient. This article proposes an improved stabilization-diagram technique, through combined usage of MonteCarlo sampling simulation, as well as fuzzy C-means (FCM) clustering and three-stage sifting manipulations. While the Monte-Carlo simulation aims to generate more robust stable-axis, the sifting and clustering manipulations can further remove outliers and discriminate true modal results. The improved stabilization-diagram technique is then applied to two mainstream modal identification methods, i.e., eigensystem realization algorithm (ERA) and stochastic subspace identification (SSI) under the context of both a simulation study on a dynamic system and a field research about a super-tall building. Results through comparison demonstrate that the improved stabilization-diagram technique can facilitate ERA and SSI to identify modal parameters automatically and effectively at a comparably good accuracy. However, ERA outperforms SSI evidently in terms of computational efficiency (upmost 15 times faster), which is attractive for real-time SHM. Parametric analysis has been also conducted to examine detailed performance of ERA aided by the proposed stabilization-diagram technique. Overall, the aforementioned method can be adopted to achieve a good balance between identification effectiveness and computational efficiency in an automatic working pattern, and has application prospect for realtime SHM of civil structures.
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页数:14
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