Calibration of a large nonlinear finite element model of a highway bridge with many uncertain parameters

Rodrigo Astroza, Nicolás Barrientos, Yong Li, Erick Saavedra Flores

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

Resumen

Finite element (FE) model updating has emerged as a powerful technique for structural health monitoring (SHM) and damage identification (DID) of civil structures. Updating mechanics-based nonlinear FE models allows for a complete and comprehensive damage diagnosis of large and complex structures. Recursive Bayesian estimation methods, such as the Unscented Kalman filter (UKF), have been used to update nonlinear FE models of civil structures; however, their use have been limited to models with a relatively low number of degrees of freedom and with a limited number of unknown model parameters, because it is otherwise impractical for computationally demanding models with many uncertain parameters. In this paper, a FE model of the Marga-Marga bridge, an eight-span seismically-isolated bridge located in Viña del Mar-Chile, is updated based on numerically simulated response data. Initially, 95 model parameters are considered unknown, and then, based on a simplified sensitivity analysis, a total of 27 model parameters are considered in the estimation. Different measurement sets, including absolute accelerations, relative displacements, strains, and shear deformations of the isolators, are analyzed to investigate the effects of considering heterogeneous responses on the estimation results. In addition, a non-recursive estimation procedure is presented and its effectiveness in reducing the computational cost, while maintaining accuracy and robustness in the estimation, is demonstrated.

Idioma originalInglés
Título de la publicación alojadaModel Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics 2019
EditoresRobert Barthorpe
EditorialSpringer New York LLC
Páginas177-187
Número de páginas11
ISBN (versión impresa)9783030120740
DOI
EstadoPublicada - 2020
Evento37th IMAC, A Conference and Exposition on Structural Dynamics, 2019 - Orlando, Estados Unidos
Duración: 28 ene 201931 ene 2019

Serie de la publicación

NombreConference Proceedings of the Society for Experimental Mechanics Series
ISSN (versión impresa)2191-5644
ISSN (versión digital)2191-5652

Conferencia

Conferencia37th IMAC, A Conference and Exposition on Structural Dynamics, 2019
País/TerritorioEstados Unidos
CiudadOrlando
Período28/01/1931/01/19

Nota bibliográfica

Publisher Copyright:
© Society for Experimental Mechanics, Inc. 2020.

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