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

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

*Autor correspondiente de este trabajo

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaExperimental Vibration Analysis for Civil Engineering Structures - Select Proceedings of the EVACES 2021
EditoresZhishen Wu, Tomonori Nagayama, Ji Dang, Rodrigo Astroza
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas349-363
Número de páginas15
ISBN (versión impresa)9783030932350
DOI
EstadoPublicada - 2023
Evento9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2021 - Virtual, Online
Duración: 17 sept. 202120 sept. 2021

Serie de la publicación

NombreLecture Notes in Civil Engineering
Volumen224
ISSN (versión impresa)2366-2557
ISSN (versión digital)2366-2565

Conferencia

Conferencia9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2021
CiudadVirtual, Online
Período17/09/2120/09/21

Nota bibliográfica

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

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