Detection Model of Building Structure Seismic System Based on Optimization Algorithm

Seismic system detection is an important part of building seismic performance evaluation, which can effectively ensure the seismic safety of building structures and improve the seismic performance. At present, the seismic performance testing of building structures in China mainly adopts manual testing and instrumental testing. Traditional artificial detection methods have many problems, such as low efficiency, long time consuming, waste of human resources and so on. In this paper, the basic principle of detection model of seismic system of building structure is introduced firstly, and then an optimization model based on particle swarm optimization algorithm and genetic algorithm is designed to improve the shortcomings of traditional algorithm. Finally, the experimental results show that the proposed method has higher detection accuracy and efficiency. The experimental results show that the detection accuracy rate of the seismic system detection model of the building structure based on the optimization algorithm can reach 92.9%.