Experimental Validation of a Two-step Kalman Filter Approach
Identification of structural damage is a significant objective of health monitoringof civil infrastructures.Extended Kalman filter (EKF) has shown its feasibility in structural identification and damage detection.However, since the parametric vector and state vector are identified simultaneously in EKF, it has been proved that the EKF is sensitive to initial estimates of the parameters and exhibits divergent behavior when dealing with large number of parameters.A two-step Kalman filter algorithm has been proposed to remove the drawbacks of the conventional EKF approach.Analytical recursive solutions for structural parameters and state vector are respectively derived so the number of unknown variables to be estimated in each step is re duced.In this paper, a lab shear frame model is used to experimentally validate the feasibility of the pro posed approach.Structural damage is detected by tracking the degradation of the identified structural element stiffness values.
Ying Lei Feng Chen
School of Architecture and Civil Engineering, Xiamen University, Xiamen, China
国际会议
哈尔滨
英文
757-761
2013-07-06（万方平台首次上网日期，不代表论文的发表时间）