Application of Modified Genetic Algorithm in Modal Parameter Identification of Bridge Structures

In bridge structures, the forces and deformations are relatively complex, and their natural frequencies are fixed. Therefore, analyzing and studying the vibration characteristics of bridges is of great significance. In practical engineering, many aspects need to be considered. This article used genetic algorithms to identify the modal of bridge structures, with the aim of improving the accuracy of target identification and reducing the risk of bridge construction. This article mainly used experimental identification methods and numerical simulation identification methods to conduct relevant research on modal parameter identification of bridge structures and improved genetic algorithms. Experimental data showed that under the genetic algorithm, the highest recognition error rate for bridge vibration mode structures was 6.11%.