Probabilistic Time-Variant Linear Finite Element Model Updating for Nonlinear Structural Systems

Felipe Mizon, Matías Birrell, José Abell, Rodrigo Astroza*

*Corresponding author for this work

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

Abstract

This paper presents a method to update linear time-variant finite element (FE) models of civil structures experiencing nonlinear behavior due to earthquake excitation. First, the time-varying modal parameters of the structure are identified using the input–output dynamic data recorded during a damaging seismic event by employing a short-time windowing approach. Then, the identified modal parameters are used to update a linear FE model of the structure using a Bayesian approach. Global sensitivity analysis based on Sobol’ indices is employed to select the most influential parameters for the model updating stage. The evolution of the equivalent stiffness of different elements of the FE model are tracked and their estimation uncertainties are also quantified. The method is verified using numerically simulated data of a two-dimensional nonlinear FE model of a nine-story steel frame.

Original languageEnglish
Title of host publicationExperimental Vibration Analysis for Civil Engineering Structures - Select Proceedings of the EVACES 2021
EditorsZhishen Wu, Tomonori Nagayama, Ji Dang, Rodrigo Astroza
PublisherSpringer Science and Business Media Deutschland GmbH
Pages349-363
Number of pages15
ISBN (Print)9783030932350
DOIs
StatePublished - 2023
Event9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2021 - Virtual, Online
Duration: 17 Sep 202120 Sep 2021

Publication series

NameLecture Notes in Civil Engineering
Volume224
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2021
CityVirtual, Online
Period17/09/2120/09/21

Bibliographical note

Funding Information:
Acknowledgements The authors acknowledge the financial support from the Chilean National Agency for Research and Development (ANID), through FONDECYT research grant No. 1200277.

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Damage
  • Modal properties
  • Model updating
  • System identification

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