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Modal parameter identification of an actual bridge by Fast Bayesian FFT method under ambient excitation
Han, Jian-Ping1,2; Zheng, Pei-Juan1,2
刊名Gongcheng Lixue/Engineering Mechanics
2014-04-01
卷号31期号:4页码:119-125
关键词Composite beams and girders Fast Fourier transforms Modal analysis Natural frequencies Numerical methods Optimization Rigidity Stochastic systems Structural panels Uncertainty analysis Bayesian Continuous girders Modal parameter identification Posterior uncertainties Stochastic subspace identification
ISSN号10004750
DOI10.6052/j.issn.1000-4750.2012.07.0560
英文摘要The Bayesian theory is adopted in modal parameter identification, finite element model updating and condition assessment of the structures recently. Bayesian modal identification can be preformed quickly using Fast Bayesian FFT method where most probable values (MPVs) are obtained by solving at most a four-dimensional numerical optimization and Hessian matrix is calculated by second derivatives of log-likelihood function with respect to modal parameters for a single modal in a selected resonant frequency band. In this paper, in order to evaluate its feasibility and superiority for modal parameter identification of actual bridges, Fast Bayesian FFT method is adopted to process the vertical acceleration response of a rigid frame-continuous girders bridge under ambient excitation. In addition to the best estimates of modal parameters, their posterior uncertainties were also assessed by their coefficients of variation. Comparison with the results from stochastic subspace identification (SSI) indicates that identified modal frequencies and mode shapes agree very well, but the variation of the identified modal damping ratios is still high.
语种中文
出版者Tsinghua University
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/112710]  
专题土木工程学院
教务处(创新创业学院)
作者单位1.Institute of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou, Gansu 730050, China
2.Key Laboratory of Disaster Prevention and Mitigation in Civil Engineering of Gansu Province, Lanzhou University of Technology, Lanzhou, Gansu 730050, China;
推荐引用方式
GB/T 7714
Han, Jian-Ping,Zheng, Pei-Juan. Modal parameter identification of an actual bridge by Fast Bayesian FFT method under ambient excitation[J]. Gongcheng Lixue/Engineering Mechanics,2014,31(4):119-125.
APA Han, Jian-Ping,&Zheng, Pei-Juan.(2014).Modal parameter identification of an actual bridge by Fast Bayesian FFT method under ambient excitation.Gongcheng Lixue/Engineering Mechanics,31(4),119-125.
MLA Han, Jian-Ping,et al."Modal parameter identification of an actual bridge by Fast Bayesian FFT method under ambient excitation".Gongcheng Lixue/Engineering Mechanics 31.4(2014):119-125.
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