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

Rodrigo Astroza; Luan T. Nguyen; Tamara Nestorović

doi:10.1016/j.compstruc.2016.09.001

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

Rodrigo Astroza^*, Luan T. Nguyen, Tamara Nestorović

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

53 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	176-191
Number of pages	16
Journal	Computers and Structures
Volume	177
DOIs	https://doi.org/10.1016/j.compstruc.2016.09.001
State	Published - 1 Dec 2016

Bibliographical note

Funding Information:
The first author acknowledges the support provided by the Universidad de los Andes through the research grant Fondo de Ayuda a la Investigacion (FAI) Iniciación 2016.

Publisher Copyright:
© 2016 Elsevier Ltd

Keywords

Finite element model
Global optimization
Model updating
Parameter estimation
Simulated annealing
Unscented Kalman filter

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10.1016/j.compstruc.2016.09.001

Cite this

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title = "Finite element model updating using simulated annealing hybridized with unscented Kalman filter",

abstract = "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.",

keywords = "Finite element model, Global optimization, Model updating, Parameter estimation, Simulated annealing, Unscented Kalman filter",

author = "Rodrigo Astroza and Nguyen, {Luan T.} and Tamara Nestorovi{\'c}",

note = "Funding Information: The first author acknowledges the support provided by the Universidad de los Andes through the research grant Fondo de Ayuda a la Investigacion (FAI) Iniciaci{\'o}n 2016. Publisher Copyright: {\textcopyright} 2016 Elsevier Ltd",

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doi = "10.1016/j.compstruc.2016.09.001",

language = "English",

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T1 - Finite element model updating using simulated annealing hybridized with unscented Kalman filter

AU - Astroza, Rodrigo

AU - Nguyen, Luan T.

AU - Nestorović, Tamara

N1 - Funding Information: The first author acknowledges the support provided by the Universidad de los Andes through the research grant Fondo de Ayuda a la Investigacion (FAI) Iniciación 2016. Publisher Copyright: © 2016 Elsevier Ltd

PY - 2016/12/1

Y1 - 2016/12/1

N2 - 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.

AB - 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.

KW - Finite element model

KW - Global optimization

KW - Model updating

KW - Parameter estimation

KW - Simulated annealing

KW - Unscented Kalman filter

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DO - 10.1016/j.compstruc.2016.09.001

M3 - Article

AN - SCOPUS:84992135197

SN - 0045-7949

VL - 177

SP - 176

EP - 191

JO - Computers and Structures

JF - Computers and Structures

ER -

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

Abstract

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