Structural damage identification based on improved damage identification factor and genetic algorithm under noise

A Structural damage identification method was presented here,based on improved damage identification factor and genetic algorithm under noise.Firstly,parametrization for damage identification was introduced,and a new damage identification factor was presented considering different modal messages and weighting coefficients.Secondly,Genetic algorithm was improved in several aspects of selecting operator,crossover operator and mutation crossover;at the same time,adaptive crossover and adaptive mutation were investigated.And damage identification was performed for a simply supported beam and a continuous beam without noise,the effect was very good and the effectiveness of the method was verified.Then,two types of noise,random noise and white Gaussian noise,were considered for the simply supported beam,it was shown that identification performance is good when the noise level is not very high.In the end,based on a baseline finite element model of a steel frame,damage identification was conducted in four damaged cases,it was shown that the performance is better,the method can be used in damage identification and health monitoring.