Nonlinear structural finite element model updating and uncertainty quantification

被引：1
|
作者：
Ebrahimian, Hamed [1 ]
Astroza, Rodrigo [1 ,2 ]
Conte, Joel P. [1 ]
机构：
[1] Univ Calif San Diego, Dept Struct Engn, La Jolla, CA 92093 USA
[2] Univ Los Andes, Fac Ingn & Ciencias Aplicadas, Santiago 12455, Chile
来源：
STRUCTURAL HEALTH MONITORING AND INSPECTION OF ADVANCED MATERIALS, AEROSPACE, AND CIVIL INFRASTRUCTURE 2015 | 2015年 / 9437卷
关键词：
Bayesian inference; nonlinear finite element model; model updating; uncertainty quantification; Gradient-based optimization; nonlinear system identification; parameter estimation; Cramer-Rao lower bound; structural health monitoring; structural damage identification; SENSITIVITY;
D O I：
10.1117/12.2084541
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper presents a framework for nonlinear finite element (FE) model updating, in which state-of-the-art nonlinear structural FE modeling and analysis techniques are combined with the maximum likelihood estimation method (MLE) to estimate time-invariant parameters governing the nonlinear hysteretic material constitutive models used in the FE model of the structure. The estimation uncertainties are evaluated based on the Cramer-Rao lower bound (CRLB) theorem. A proof-of-concept example, consisting of a cantilever steel column representing a bridge pier, is provided to verify the proposed nonlinear FE model updating framework.
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收藏
页数：10
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