Finite element model updating using simulated annealing hybridized with unscented Kalman filter

被引:46
作者
Astroza, Rodrigo [1 ]
Nguyen, Luan T. [2 ]
Nestorovic, Tamara [2 ]
机构
[1] Univ Los Andes, Fac Engn & Appl Sci, Mons Alvaro Portillo 12455, Santiago, Chile
[2] Ruhr Univ Bochum, Dept Civil & Environm Engn, Mech Adapt Syst, Bochum, Germany
关键词
Finite element model; Model updating; Simulated annealing; Unscented Kalman filter; Parameter estimation; Global optimization; COUPLED LOCAL MINIMIZERS; DAMAGE DETECTION; GENETIC ALGORITHMS; SYSTEM-IDENTIFICATION; GLOBAL OPTIMIZATION; STRUCTURAL DYNAMICS; NEURAL-NETWORKS;
D O I
10.1016/j.compstruc.2016.09.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper proposes a method for finite element (FE) model updating of civil structures. The method is a hybrid global optimization algorithm combining simulated annealing (SA) with the unscented Kalman filter (UKF). The objective function in the optimization problem can be defined in the modal, time, or frequency domains. The algorithm improves the accuracy, convergence rate, and computational cost of the SA algorithm by local improvements of the accepted candidates though the UKF. The proposed methodology is validated using a mathematical function and numerically simulated response data from linear and nonlinear FE models of realistic three-dimensional structures. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:176 / 191
页数:16
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