Smart Structures and Systems

Volume 37, Number 4, 2026, pages 261-281

DOI: 10.12989/sss.2026.37.4.261

Bridge damage identification under moving load based on area difference of fused multi-point deflection influence line

Chao Wang , Han Zhang , Xiang Pan , Wen Yu He , Wei Xin Ren

Abstract

With the increase of bridge service life, various loads, environmental corrosion and material aging may lead to the accumulation of structural damage, it is significant to identify structural damage to provide maintenance strategies and prevent collapse accidents. A bridge damage identification method based on fused multi-point deflection influence line area is proposed in this study. Initially, the variational mode decomposition (VMD) technique is introduced to decompose the structural dynamic deflection under moving load, which will separate the dynamic fluctuation disturbance component from the structural low-frequency deflection response. In order to reduce the number of unknown variables to be solved and smooth the local fluctuations in the solution caused by noise, the Bspline basis functions are used to expand the influence line, which will transform the identification of influence line into solving the weight coefficients of base functions. Subsequently, the influence lines of the simply supported bridge before and after damage are derived, and a damage index based on the area difference of influence lines of fusing multipoint is proposed. Finally, a numerical simulating and experimental testing under various damage cases are studied to validate the feasibility of the proposed method. The dynamic fluctuation interference can effectively eliminate and the influence line can be accurately identified by proposed method. The fused damage index can effectively identify and localize structural damage under various damage cases, and the identification result is better and more stable than the damage index of single measurement point.

Key Words

B-spline basis function; damage identification; influence line; moving load; variational mode decomposition

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