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Bayesian optimal estimation for output-only nonlinear system and damage identification of civil structures

Ebrahimian, Hamed and Astroza, Rodrigo and Conte, Joel P. and Papadimitriou, Costas (2018) Bayesian optimal estimation for output-only nonlinear system and damage identification of civil structures. Structural Control and Health Monitoring, 25 (4). Art. No. e2128. ISSN 1545-2255. http://resolver.caltech.edu/CaltechAUTHORS:20180329-110905347

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Abstract

This paper presents a new framework for output‐only nonlinear system and damage identification of civil structures. This framework is based on nonlinear finite element (FE) model updating in the time‐domain, using only the sparsely measured structural response to unmeasured or partially measured earthquake excitation. The proposed framework provides a computationally feasible approach for structural health monitoring and damage identification of civil structures when accurate measurement of the input seismic excitations is challenging (e.g., buildings with significant foundation rocking and bridges with piers in deep water) or the measured seismic excitations are erroneous and/or distorted by significant measurement error (e.g., malfunctioning sensors). Grounded on Bayesian inference, the proposed framework estimates the unknown FE model parameters and the ground acceleration time histories simultaneously, using the sparse measured dynamic response of the structure. Two approaches are presented in this study to solve the joint structural system parameter and input identification problem: (a) a sequential maximum likelihood estimation approach, which reduces to a sequential nonlinear constrained optimization method, and (b) a sequential maximum a posteriori estimation approach, which reduces to a sequential iterative extended Kalman filtering method. Both approaches require the computation of FE response sensitivities with respect to the unknown FE model parameters and the values of base acceleration at each time step. The FE response sensitivities are computed efficiently using the direct differentiation method. The two proposed approaches are validated using the seismic response of a 5‐story reinforced concrete building structure, numerically simulated using a state‐of‐the‐art mechanics‐based nonlinear structural FE modeling technique. The simulated absolute acceleration response time histories of 3 floors and the relative (to the base) roof displacement response time histories of the building to a bidirectional horizontal seismic excitation are polluted with artificial measurement noise. The noisy responses of the structure are then used to estimate the unknown FE model parameters characterizing the nonlinear material constitutive laws of the concrete and reinforcing steel and the (assumed) unknown time history of the ground acceleration in the longitudinal direction of the building. The same nonlinear FE model of the structure is used to simulate the structural response and to estimate the dynamic input and system parameters. Thus, modeling uncertainty is not considered in this paper. Although the validation study demonstrates the estimation accuracy of both approaches, the sequential maximum a posteriori estimation approach is shown to be significantly more efficient computationally than the sequential maximum likelihood estimation approach.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1002/stc.2128DOIArticle
https://onlinelibrary.wiley.com/doi/abs/10.1002/stc.2128PublisherArticle
ORCID:
AuthorORCID
Ebrahimian, Hamed0000-0003-1992-6033
Astroza, Rodrigo0000-0003-0711-1259
Conte, Joel P.0000-0003-2068-7965
Papadimitriou, Costas0000-0002-9792-0481
Additional Information:© 2018 John Wiley & Sons, Ltd. Issue Online 12 March 2018; Version of Record online: 24 January 2018; Manuscript accepted: 04 November 2017; Manuscript revised: 07 September 2017; Manuscript received: 26 September 2016. The authors wish to thank Dr. Quan Gu at Xiamen University, China, and Dr. Frank McKenna at the Pacific Earthquake Engineering Research Center at UC Berkeley for their help with the implementation in OpenSees of the DDM for earthquake ground acceleration input as sensitivity parameters. Their assistance was most valuable and is highly appreciated. Rodrigo Astroza acknowledges the financial support from the Universidad de los Andes, Chile, through the research grant Fondo de Ayuda a la Investigación (FAI) and from the Chilean National Commission for Scientific and Technological Research (CONICYT), FONDECYT‐Iniciación research project 11160009.
Funders:
Funding AgencyGrant Number
Universidad de los Andes (Chile)UNSPECIFIED
Fondo de Ayuda a la Investigación (FAI)UNSPECIFIED
Consejo Nacional de Ciencia y Tecnología (CONACYT)UNSPECIFIED
Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT)11160009
Subject Keywords:Bayesian method; direct differentiation method; joint parameter and input estimation; nonlinear finite element model; output‐only system identification; structural health monitoring
Record Number:CaltechAUTHORS:20180329-110905347
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180329-110905347
Official Citation:Citation for: Bayesian optimal estimation for output‐only nonlinear system and damage identification of civil structures Hamed Ebrahimian Rodrigo Astroza Joel P. Conte Costas Papadimitriou First published: 24 January 2018 https://doi.org/10.1002/stc.2128
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85495
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:29 Mar 2018 19:45
Last Modified:04 Apr 2019 20:24

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