Non-probabilistic information fusion technique for structural damage identification based on measured dynamic data with uncertainty  

作　　者：Xiao-Jun Wang Chen Yang Zhi-Ping Qiu 

机构地区：[1]Institute of Solid Mechanics,Beihang University

出　　处：《Acta Mechanica Sinica》2013年第2期202-210,共9页力学学报（英文版）

基　　金：supported by the Specialized Research Fund for the Doctoral Program of Higher Education (20091102120023);the Aeronautical Science Foundation of China (2012ZA51010);the National Natural Science Foundation of China (11002013);Defense Industrial Technology Development Program (A2120110001 and B2120110011)

摘　　要：Based on measured natural frequencies and acceleration responses,a non-probabilistic information fusion technique is proposed for the structural damage detection by adopting the set-membership identification（SMI） and twostep model updating procedure.Due to the insufficiency and uncertainty of information obtained from measurements,the uncertain problem of damage identification is addressed with interval variables in this paper.Based on the first-order Taylor series expansion,the interval bounds of the elemental stiffness parameters in undamaged and damaged models are estimated,respectively.The possibility of damage existence（PoDE） in elements is proposed as the quantitative measure of structural damage probability,which is more reasonable in the condition of insufficient measurement data.In comparison with the identification method based on a single kind of information,the SMI method will improve the accuracy in damage identification,which reflects the information fusion concept based on the non-probabilistic set.A numerical example is performed to demonstrate the feasibility and effectiveness of the proposed technique.Based on measured natural frequencies and acceleration responses,a non-probabilistic information fusion technique is proposed for the structural damage detection by adopting the set-membership identification（SMI） and twostep model updating procedure.Due to the insufficiency and uncertainty of information obtained from measurements,the uncertain problem of damage identification is addressed with interval variables in this paper.Based on the first-order Taylor series expansion,the interval bounds of the elemental stiffness parameters in undamaged and damaged models are estimated,respectively.The possibility of damage existence（PoDE） in elements is proposed as the quantitative measure of structural damage probability,which is more reasonable in the condition of insufficient measurement data.In comparison with the identification method based on a single kind of information,the SMI method will improve the accuracy in damage identification,which reflects the information fusion concept based on the non-probabilistic set.A numerical example is performed to demonstrate the feasibility and effectiveness of the proposed technique.

关 键 词：Damage identification·Information fusion technique·Set-membership identification(SMI)·Uncertainty·Interval analysis method 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]