Modal Parameter Identification of Bridge Structure Based on Hybrid Genetic Algorithm

Abstract

Bridges play an irreplaceable role in the structure of modern transportation system and play an important pivotal role in the development of politics, economy and culture. In the development of bridge engineering, the modal parameter identification (MPI) of bridge structure is particularly important. Therefore, this paper studies and analyzes the MPI of bridge structure based on hybrid genetic algorithm (HGA). Firstly, the identification method of bridge structural modal parameters and the identification content of bridge construction parameters are briefly analyzed, and the HGA is proposed. It is analyzed that the HGA mainly plays the role of fitting and Optimization in the identification of bridge structural modal parameters; Finally, based on the monitoring project of a Provincial Railway temporary bridge, combined with the finite element theory analysis of ANSYS, the genetic algorithm is applied to MPI by combining signal filtering and random decrement method. The test results show that the minimum frequency error is 1.93%, the maximum error is 9.33%, and the first three frequency errors are within 6%. When the genetic algorithm is applied to MPI, the modal order determination problem has a great impact on the results of parameter identification, The feasibility and effectiveness of HGA applied to bridge structure MPI are verified.