Preprint Article Version 1 This version is not peer-reviewed

Bridge Displacement Estimation Using a Co-Located Acceleration and Strain

Version 1 : Received: 21 January 2020 / Approved: 22 January 2020 / Online: 22 January 2020 (03:08:35 CET)

A peer-reviewed article of this Preprint also exists.

Sarwar, M.Z.; Park, J.-W. Bridge Displacement Estimation Using a Co-Located Acceleration and Strain. Sensors 2020, 20, 1109. Sarwar, M.Z.; Park, J.-W. Bridge Displacement Estimation Using a Co-Located Acceleration and Strain. Sensors 2020, 20, 1109.

Journal reference: Sensors 2020, 20, 1109
DOI: 10.3390/s20041109

Abstract

Structural displacement is an important metric for assessing structural conditions because it has a direct relationship with the structural stiffness. Many bridge displacement measurement techniques have been developed, but most methods require fixed reference points in the vicinity of the target structure which limits field implementations. A promising alternative is to use reference-free measurement techniques that indirectly estimate the displacement by using measurements such as acceleration, and strain. This paper proposes novel reference-free bridge displacement estimation by the fusion of single acceleration with pseudo-static displacement derived from co-located strain measurements. First, we propose a conversion of the strain at the center of a beam into displacement based on the geometric relationship between strain and deflection curves with reference-free calibration. Second, an adaptive Kalman filter is proposed to fuse the displacement generated by strain with acceleration by recursively estimate the noise covariance of displacement from strain measurements which is vulnerable to measurement condition. Both numerical and experimental validations are presented to demonstrate the efficiency and robustness of the proposed approach.

Subject Areas

structural health monitoring; sensor fusion; adaptive Kalman Filter; displacement estimation; reference-free displacement

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