Shake table experimental verification for a structural damage identification technique

摘要：

An important objective of structural health monitoring systems is to identify the state of the structure and to detect the damage when it occurs.Recently,a new adaptive tracking technique has been proposed for structural damage identification,referred to as the adaptive extended Kalman filter(AEKF).In this paper,we present shake table experimental test results to verify the capability of the AEKF approach in identifying the structural damage.A scaled 3-story building model was tested on the shake table using different earthquake excitations.To simulate structural damages during the test,an innovative device is proposed to reduce the stiffness of some stories.Measured acceleration data and the AEKF approach are used to track the variation of stiffness during the test.The tracking results for stiffness are then compared with that predicted by the finite-element method.Experimental results demonstrate that the AEKF approach is capable of tracking the structural damages.

关键词： Shake Table Experiment Adaptive Extended Kalman Filter System Identification and Damage Detection Structural Health Monitoring

作者: Li Zhou Shinya Wu Jann N. Yang

作者单位: College of Aerospace Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,210016,C Department of Civil & Environmental Engineering,University of California,Irvine,CA92697,U.S.A.

会议类型: 国际会议

会议名称: 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)

会议地点: 重庆·南京

会议语种:英文

在线出版日期: 2007-05-01（万方平台首次上网日期，不代表论文的发表时间）