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Modal parameter identification of a rigid frame-continuous girders bridge under ambient excitation by fast bayesian FFT method
Han, Jianping1; Zheng, Peijuan2
2013
会议日期December 15, 2012 - December 16, 2012
会议地点Changsha, China
关键词Composite beams and girders Finite element method Modal analysis Rigidity Ambient excitation Bayesian theory Finite-element model updating Measurement channels Modal identification Modal parameter identification Modal parameters Residual capacity Stochastic subspace identification
卷号639-640
期号1
DOI10.4028/www.scientific.net/AMR.639-640.985
页码985-991
英文摘要Bayesian theory is adopted in modal parameter identification, finite element model updating and residual capacity evaluation of the structures recently. Fast Bayesian FFT modal identification approach provides a rigorous way to obtain modal parameters and well-separated modes using the fast Fourier transform under ambient excitation. Moreover, it avoids choosing the modal order or removing false modes based on the stable diagram and has its obvious advantages. In this paper, modal parameters of a rigid frame-continuous girders bridge under ambient excitation are identified by this approach. Comparison with stochastic subspace identification (SSI) method indicates that Fast Bayesian FFT is a good approach to identify the modal parameters even for a large number of measurement channels. © (2013) Trans Tech Publications, Switzerland.
会议录Advanced Materials Research
会议录出版者Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
语种英语
ISSN号10226680
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/117576]  
专题土木工程学院
教务处(创新创业学院)
作者单位1.Key Laboratory of Disaster Prevention and Mitigation in Civil Engineering of Gansu Province, Lanzhou University of Technology, Lanzhou, Gansu, China;
2.Institute of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou, Gansu, China
推荐引用方式
GB/T 7714
Han, Jianping,Zheng, Peijuan. Modal parameter identification of a rigid frame-continuous girders bridge under ambient excitation by fast bayesian FFT method[C]. 见:. Changsha, China. December 15, 2012 - December 16, 2012.
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