DAMAGE IDENTIFICATION OF BRIDGE SYSTEM BASED ON A HYBRID ALGORITHM
Jingzhou Xin, Hong Zhang, Jianting Zhou, Xiaogang Li, and Hu Ma
Keywords
Damage identification, hybrid algorithm, chaotic search, bridgesystem
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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