Material parameter estimation in distributed plasticity FE models using the unscented Kalman filter

Rodrigo Astroza, Hamed Ebrahimian, Joel P. Conte

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes a novel framework that combines advanced mechanics-based nonlinear (hysteretic) finite element (FE) models and a nonlinear stochastic filtering technique, the unscented Kalman filter (UKF), to estimate unknown time-invariant parameters of nonlinear inelastic material models used in the FE model. The proposed framework updates the nonlinear FE model of the structure using input-output data recorded during earthquake events. The updated model can be directly used for damage identification. A two-dimensional 3-bay 3-story steel moment-resisting frame is used to verify the convergence, robustness, and accuracy of the proposed methodology. The steel frame is modeled using fiber-section beam-column elements with distributed plasticity and is subjected to a ground motion recorded during the 1989 Loma Prieta earthquake. The results indicate that the proposed framework provides accurate estimation of the unknown material parameters of the nonlinear FE model.

Original languageEnglish
Title of host publication12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015
PublisherUniversity of British Columbia
ISBN (Electronic)9780888652454
StatePublished - 2015
Event12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 - Vancouver, Canada
Duration: 12 Jul 201515 Jul 2015

Publication series

Name12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

Conference

Conference12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
CountryCanada
CityVancouver
Period12/07/1515/07/15

Bibliographical note

Funding Information:
Partial support of this research by the UCSD Academic Senate under Research Grant RN091G-CONTE is gratefully acknowledged. The first author also acknowledges the support provided by the Fulbright-CONICYT Chile Equal Opportunities Scholarship.

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