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

Rodrigo Astroza, Luan T. Nguyen, Tamara Nestorović

Research output: Contribution to journalArticlepeer-review

32 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 languageAmerican English
Pages (from-to)176-191
Number of pages16
JournalComputers and Structures
Volume177
DOIs
StatePublished - 1 Dec 2016

Keywords

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

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