The Detection Of Multiple Damages In The Structures Based On Genetic Algorithms And Structure Topology Optimization

The principle and theory of intelligence algorithms, structure optimization is summarized at thestart of this paper. The disadvantages of using intelligence algorithms, structure optimization theoryand other optimization methods to identify the damages of structures are discussed comprehensively,and the application and development of the genetic algorithms and topology optimization forstructural damage identification are introduced detail at the start of this paper. Based on the work ofpredecessors, Three methods: hierarchical genetic algorithm, finite element method and topologyoptimization are combined to develop a new method for two-dimensional structure damagesidentification. In view of the respective advantages of the hierarchical genetic algorithm and topologyoptimization in structural damages identification, In this method, the objective function and constraintequations of topology optimization are linked with the fitness function of GA; the design variables oftopology optimization and parameters of hierarchical genetic algorithm were unified; and while theconstraint equations of topology optimization were set as a condition to control the whole geneticcomputing loop. Continuous variables topology optimization is used in multi-damage identification ofthe structure with the not completely damages for size optimization accomplishment in the meantimeof topology opotimization. The results of several models simulation examples show that this methodis feasible in one and two dimensional structure damages detection, the good agreements with theactual situation can also obtained which is difficult to get by using continuous variable topologyoptimization method.