Research on Modal Parameter Identification and Damage Diagnosis of Bridge Structure Based on Improved Genetic Algorithm

Abstract

Large-scale bridge projects are an vital part of national infrastructure, and are directly related to the safety of people's lives and properties. The identification of modal parameters of bridge structures under working conditions is an vital part of bridge damage identification. Considering the practicability of bridge detection, bridge detection should generally be based on environmental excitation. The existing means of modal parameter identification under environmental excitation are not suitable for The identification accuracy of the modal frequency is high, while the identification of the displacement mode has a large error. The existing means of modal parameter identification under environmental excitation have relatively high identification accuracy for the modal frequency, while the identification of the displacement mode has a large error. Due to the complexity and large-scale bridge structure, the importance and necessity of bridge structure health monitoring are more and more recognized by people. The means used in this paper is to improve the genetic algorithm to simulate the phenomena of reproduction, crossover and gene mutation that occur in the spontaneous selection and spontaneous heredity process. Genetic algorithm is a global optimization adaptive probabilistic search algorithm, which has the advantages of intelligent optimization and robustness.