Application On Damage Identification Of Structures Based On Gray Particle Swarm Opitmization

The bridge project is the country’s major infrastructure investment projects, is alsoan important part of the lifeline engineering. After the bridge is opened to traffic, astime goes on, due to the corrosive environment, the vehicle load, and the increasedtraffic, bridge reliability decreased, the structure and function becomes insufficient.Because of the damage to the bridge structure, has caused a significant impact, theeconomic life of the community as a whole.Studying an effective and accurate damageidentification method has important economic significance and practical necessity.In recent years, the direct use of the confidence of the modal assurance criterionand the flexibility assurance criterion, to the study of the structural damageidentification has become increasingly mature, but to identify the effect is not verysatisfactory. On the basis of these two indicators, using particle swarm optimizationcombined with gray relational, author try to study the structure damage identification oflaboratory combination T beam model.The paper first introduces the modal structural damage identification, correlationconfidence level of the the modal assurance criterion and the flexibility assurancecriterion. Secondly tells the basic flow of the single objective function particle swarmoptimization, For a simply supported T beam, two single objective function based on themodal assurance criterion and the flexibility assurance criterion of structural damageidentification. By contrast, found that the advantages and disadvantages of the twosingle objective function. Followed while taking advantage of the above two indicators,to build the objective function. Associate degree in gray theory, two objective functionparticle swarm optimization is converted into a single objective function of particleswarm optimization of structural damage identification. The results show that relative tothe single objective function, the former identify better, more accurate structural damageidentification. Finally such laboratory composite T beam as example, with differentdamage working conditions, the application of the gray particle swarm optimizationwhich beam damage identification, found the the recognition region with the crackdistribution is broadly in line.Through the gray particle swarm optimization in structural damage, find someimportant conclusions and analysis methods,and provide some ideas and directions forfuture deeper research.