Adaptive Improved Genetic Algorithm in Structural Damage Detection System of Civil Environment

In structural damage detection of building engineering, adaptive improved genetic algorithm can effectively transform complex and high-dimensional problems into simple ones, and can accurately identify and classify components. Based on the characteristics of building structures, this paper studies an improved genetic algorithm to improve the accuracy of damage detection of civil structures. In this paper, the experimental method and the comparative method are mainly used to compare and analyze the structural damage detection results with different improved algorithms. The experimental data shows that the error is less than 1% by observing the detection result of the target function 2, and the positioning effect of the whole structure is relatively stable.