ADAPTIVE QUADRATIC SUM SQUARES ERROR WITH UNKNOWN INPUTS FOR DAMAGE IDENTIFICATION OF STRUCTURES
The ability to detect damages real-time on-line,based on vibration data measured from sensors,will ensure the reliability and safety of structures.The problem is quite challenging,especially when the excitations and the responses are not completely measured.Traditional time-domain analysis techniques,such as the least square estimation(LSE)method and the extended Kalman filter(EKF)approach,require that all the external excitations(inputs)be available,which may not be the case for some structural health monitoring systems.In this paper,we propose a new analysis method,referred to as the adaptive quadratic sum squares error with unknown inputs(AQSSE-UI),for the identification of structural damages.In this approach,external excitations and some structural responses may not be measured.Analytical recursive solution for the proposed AQSSE-UI method will be derived and presented.The advantages of this new approach over currently available techniques will be discussed.The accuracy and effectiveness of the proposed approach will be demonstrated using a plan frame with finite-element model.Simulation results indicate that the proposed approach is capable of:(i)tracking the changes of structural parameters leading to the identification of structural damages,and(ii)identifying the unknown external excitations.
Quadratic Sum Squares Error with Unknown Inputs Structural Health Monitoring System Identificationand Damage Detection
Jann N. Yang Hongwei Huang
Department of Civil & Environmental Engineering,University of California,Irvine,USA Department of Bridge Engineering,Tongji University,China
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）