Parameter Estimation of a Shake-Table Tested Bridge Column with Bond-Slip Effect Using Stochastic Inference

Zhenning Liu*, Yong Li, Rodrigo Astroza

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


Stochastic filtering strategies, such as the unscented Kalman filter (UKF), are widely used for system or damage identification problems in various fields. However, in civil engineering, it is rarely used to learn about unknown modeling aspects using experimental data, despite of many studies using simulated data. This paper uses the UKF to estimate parameters of a nonlinear finite element (FE) model of a reinforced concrete (RC) bridge column where bond-slip effect played a significant role. The bridge column was tested on a shake table at the University of California, San Diego, and was subjected to a suite of seismic input motions of varying intensities. Although perfect bonding is a common engineering assumption, the experimental observations indicated that the bond-slip effect should be taken into account due to high contribution to fixed-end rotation to column drifts. In this regard, a computationally efficient nonlinear FE model is developed in OpenSees using fiber-based beam-column elements with fixed-end rotation considered. The FE model is updated by minimizing the discrepancy between FE-predicted and measured response, leading to optimum estimate of the unknown model parameters (e.g., those for core concrete and bond-slip). The UKF is employed for nonlinear FE model updating after careful selection of critical model parameters based on a sensitivity study. Data from different tests with seismic excitations of various intensity levels are also considered. In sum, this study successfully applies the UKF to estimate unknown modeling aspects using experimental data and affirms that the bond slip effect in the tested bridge pier column has a significant impact in its dynamic response.

Idioma originalInglés
Título de la publicación alojadaProceedings of the Canadian Society of Civil Engineering Annual Conference 2021 - CSCE21 Structures Track Volume 1
EditoresScott Walbridge, Mazdak Nik-Bakht, Kelvin Tsun Ng, Manas Shome, M. Shahria Alam, Ashraf El Damatty, Gordon Lovegrove
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas13
ISBN (versión impresa)9789811905100
EstadoPublicada - 2023
EventoAnnual Conference of the Canadian Society of Civil Engineering, CSCE 2021 - Virtual, Online
Duración: 26 may. 202129 may. 2021

Serie de la publicación

NombreLecture Notes in Civil Engineering


ConferenciaAnnual Conference of the Canadian Society of Civil Engineering, CSCE 2021
CiudadVirtual, Online

Nota bibliográfica

Funding Information:
Acknowledgements The authors acknowledge the financial support provided by the Natural Sciences and Engineering Research Council (NSERC) in Canada through the Discovery Grant (RGPIN-2017-05556).

Publisher Copyright:
© 2023, Canadian Society for Civil Engineering.


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