Health Assessment of Structures under Uncertainty
Health assessment of structures using measured dynamic response information has become a major research topic. However, the presence of uncertainty in modeling the structure, characteristics of sensors, and the dynamic response information collected by the sensors is generally overlooked by the profession. A time domain system identification- based procedure is proposed in this paper to assess health of a structure at the finite element level in the presence of all major sources of uncertainty. The noise-contaminated response information needs not be available at all dynamic degrees of freedom. The method is verified using computer generated analytical and actual measured response information.
Health assessment of structures System identification Finite element Experimental verifications Kalman filter
Achintya Haldar Rene Martinez-Flores Hasan Katkhuda
Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ 85721, Talavera Design and Construction, Tucson, AZ 85719, U.S.A. Hashemite University, Zarqa, Jordan
国际会议
南京
英文
195-201
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）