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Structural Monitoring and Maintenance
  Volume 7, Number 4, December 2020 , pages 319-344

Condition assessment of bridge pier using constrained minimum variance unbiased estimator
Pranjal Tamuly, Arunasis Chakraborty and Sandip Das

    Inverse analysis of non-linear reinforced concrete bridge pier using recursive Gaussian filtering for in-situ condition assessment is the main theme of this work. For this purpose, minimum variance unbiased estimation using unscented sigma points is adopted here. The uniqueness of this inverse analysis lies in its approach for strain based updating of engineering demand parameters, where appropriate bound and constrained conditions are introduced to ensure numerical stability and convergence. In this analysis, seismic input is also identified, which is an added advantage for the structures having no dedicated sensors for earthquake measurement. First, the proposed strategy is tested with a simulated example whose hysteretic properties are obtained from the slow-cyclic test of a frame to investigate its efficiency and accuracy. Finally, the experimental test data of a full-scale bridge pier is used to study its in-situ condition in terms of Park & Ang damage index. Overall the study shows the ability of the augmented minimum variance unbiased estimation based recursive time-marching algorithm for non-linear system identification with the aim to estimate the engineering damage parameters that are the fundamental information necessary for any future decision making for retrofitting/rehabilitation.
Key Words
    bouc-wen hysteresis; minimum variance unbiased estimation; condition assessment of bridge pier; shake table test; Park & Ang damage index
Pranjal Tamuly, Arunasis Chakraborty and Sandip Das: Department of Civil Engineering, Indian Institute of Technology Guwahati, Assam, India- 781039

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