Modal parameter identification of an actual bridge by Fast Bayesian FFT method under ambient excitation
Han, Jian-Ping1,2; Zheng, Pei-Juan1,2
2014-04-01
发表期刊Gongcheng Lixue/Engineering Mechanics
ISSN10004750
卷号31期号:4页码:119-125
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.
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
DOI10.6052/j.issn.1000-4750.2012.07.0560
收录类别EI
语种中文
出版者Tsinghua University
EI入藏号20142117744163
EI主题词Parameter estimation
EI分类号408.2 Structural Members and Shapes - 921 Mathematics - 922.1 Probability Theory - 951 Materials Science - 961 Systems Science
来源库Compendex
分类代码408.2 Structural Members and Shapes - 921 Mathematics - 922.1 Probability Theory - 951 Materials Science - 961 Systems Science
引用统计
文献类型期刊论文
条目标识符https://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.Key Laboratory of Disaster Prevention and Mitigation in Civil Engineering of Gansu Province, Lanzhou University of Technology, Lanzhou, Gansu 730050, China;
2.Institute of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou, Gansu 730050, China
第一作者单位甘肃省土木工程防灾减灾重点实验室;  兰州理工大学
第一作者的第一单位甘肃省土木工程防灾减灾重点实验室
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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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