Trust-region Optimization Based Model Updating with Subset Selection and Damage Functions for SHM
Because a structure’s modal parameters(natural frequencies and mode shapes)are affected by structural damage,finite element based model updating techniques may be applied as one approach to locate and quantify structural damage.However,the dynamic behavior of a structure can only be observed in a narrow knowledge space,which usually causes non-uniqueness and ill-posedness in the damage detection problem.Thus,advanced optimization techniques are a necessary tool for solving such a complex inverse problem.Furthermore,a pre-selection process of most significant damage parameters is helpful to improve the efficiency of damage detection procedure.A new approach is proposed herein to accomplish this task.Starting with a simple 1-D beam model,this paper first demonstrates several essential concepts in model updating.Second,a parameter subset selection process is combined with the application of damage function.A more advanced example considering a 2-D model is considered.Trust-region based optimization method is adopted to solve the corresponding nonlinear minimization problem.The focus is to provide a clear understanding of the nature of model updating techniques application in structural health monitoring and meanwhile provide a robust solution to this challenging problem.
FE model updating damage detection trust-region optimization subset selection damage function
Wei Song Shirley Dyke GunJin Yun Thomas Harmon
Washington University,St.Louis,Missouri 63108,USA
国际会议
The World Forum on Smart Materials and Smart Structures Technology(SMSST07)(2007年世界智能材料与智能结构技术论坛)
重庆·南京
英文
2007-05-01（万方平台首次上网日期，不代表论文的发表时间）