DAMAGE IDENTIFICATION OF BRIDGE SYSTEM BASED ON A HYBRID ALGORITHM

Jingzhou Xin, Hong Zhang, Jianting Zhou, Xiaogang Li, Hu Ma

Keywords

Damage identification, hybrid algorithm, chaotic search, bridge system

Abstract

Structural damage identification is fundamentally important for ensuring bridge safety and improving the pertinence of maintenance work. This paper proposes a new hybrid method for structural damage identification, which integrates the stepwise regression model based on uniform design and the intelligent optimization algorithm based on chaotic search. A numerical example is studied to investigate the efficiency and correctness of the proposed method. The simulation results demonstrated that the hybrid model can accurately identify the damage location and degree of the structure, the identification accuracy of the proposed method is satisfactory with 7.332% of mean relative percentage error and 9.878% of maximum relative percentage error. This paper provides a new way for damage identification of bridge structures.

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