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Application of Hilbert-Huang transform and stochastic subspace identification for modal parameter identification of civil engineering structures
Han, Jianping; Li, Dawen; Li, Hui
2007
关键词operational modal parameter identification empirical mode decomposition Hilbert-Huang transform stochastic subspace identification random decrement technique
页码216-221
英文摘要Identification of structural parameters from operational vibration measurements is one of the most attractive research topics in the structural health monitoring area. Hilbert-Huang transform: (HHT) was developed recently in order to adaptively analyze non-stationary and nonlinear signals. And as a promising output-only time domain method, stochastic subspace identification (SSI) is especially suitable for operational modal parameter identification. Therefore two approaches are proposed to identify the modal parameters separately in this paper. The first approach is based on the HHT and the random decrement technique (RDT). The second one is based on the empirical mode decomposition (EMD,) and SSI. As case studies, the original signals from the field ambient vibration test of an arch bridge and the shaking table test of a RC frame model are processed and modal parameters are identified using the above two approaches, respectively. Identification results indicate that the proposed approaches are feasible and these kinds of combination can exert each one's advantages and make up the deficiencies.
会议录PROCEEDINGS OF INTERNATIONAL CONFERENCE ON HEALTH MONITORING OF STRUCTURE, MATERIALS AND ENVIRONMENT, VOLS 1 AND 2
会议录出版者SOUTHEAST UNIV PRESS
会议录出版地2 SIPAILOU, NANJING 210096, PEOPLES R CHINA
语种英语
WOS研究方向Construction & Building Technology ; Engineering ; Materials Science ; Transportation
WOS记录号WOS:000251357300027
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/38106]  
专题教务处(创新创业学院)
通讯作者Han, Jianping
作者单位Lanzhou Univ Technol, Inst Earthquake Protect & Disaster Mitigat, Lanzhou, Peoples R China
推荐引用方式
GB/T 7714
Han, Jianping,Li, Dawen,Li, Hui. Application of Hilbert-Huang transform and stochastic subspace identification for modal parameter identification of civil engineering structures[C]. 见:.
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