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Nonlinear finite element model updating using constrained unscented Kalman filter for condition assessment of reinforced concrete structures

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Abstract

This paper presents a new framework for material level system identification for damage assessment of a reinforced concrete structure using a modified version of the unscented Kalman filtering technique. The complete framework is based on nonlinear finite element model updating using constraint conditions, where the sigma points are generated within a pre-defined domain of the respective model parameters. The proposed framework updates the parameters using noisy measurements (i.e. acceleration, strain history, etc.), which are used for condition assessment using modified Park and Ang damage index. First, the proposed algorithm is validated using the simulated response of a multistory 2D moment resisting frame. The results of this numerical analysis show the efficiency of the proposed methodology for estimating the damage state of the structure excited by seismic ground motion. Finally, the performance of the proposed damage estimation algorithm is demonstrated using full-scale test results of a reinforced concrete bridge pier. It clearly shows the possibility to update element level material parameters, which is the main aim of this study. This element level parameter identification helps to quantify both in-situ local and global damage, which can be further utilized for decision-making prior to retrofitting/rehabilitation. Overall, the novelty of this work lies in the adaptation of the proposed constrained unscented Kalman filter algorithm for material level parameter estimation and its validation using experimental data.

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Acknowledgements

The authors wish to express sincere gratitude to Dr. Matthew Schoettler and Professor Jose Restrepo for sharing the full scale bridge pier test data in the public domain (i.e. DESIGNSAFE-CI platform).

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  1. Department of Civil Engineering, Indian Institute of Technology, Guwahati, Assam, 781039, India

    Pranjal Tamuly, Arunasis Chakraborty & Sandip Das

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  1. Pranjal Tamuly
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  2. Arunasis Chakraborty
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Correspondence to Arunasis Chakraborty.

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Tamuly, P., Chakraborty, A. & Das, S. Nonlinear finite element model updating using constrained unscented Kalman filter for condition assessment of reinforced concrete structures. J Civil Struct Health Monit 11, 1137–1154 (2021). https://doi.org/10.1007/s13349-021-00496-7

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