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Updating Structural Reliability Based on Dynamic Test Data

Katafygiotis, L. S. and Beck, J. L. and Papadimitriou, C. (1998) Updating Structural Reliability Based on Dynamic Test Data. In: Proceedings Eleventh European Conference on Earthquake Engineering. Balkema , Rotterdam. ISBN 90 5410 982 3.

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A Bayesian probabilistic methodology is integrated with probabilistic structural analysis tools for the purpose of monitoring the condition of a structure and updating the assessment of its lifetime reliability based on dynamic test data. Uncertainties from modeling errors are treated in addition to the uncertain excitation the structure will experience during the remainder of its lifetime. Both cases of identifiable and unidentifiable models are addressed. Methods for computing the structural reliability are developed for each case. Application of the methodology to a beam model of a single-span bridge with soil-structure interaction at the abutments, shows that the structural reliabilities computed before and after using “measured” dynamic data can differ significantly.

Item Type:Book Section
Papadimitriou, C.0000-0002-9792-0481
Additional Information:© 1998 Balkema, Rotterdam. This paper is based upon work partly supported by the National Science Foundation under subcontract to grant CMS-9503370 and the Hong Kong Research Grant Council under grants HKUST 639/95E and 6041/97E. This support is gratefully acknowledged. The assistance of graduated students Hui Fai Lam, HKUST, and Siu Kui Au, Caltech, are also gratefully acknowledged.
Funding AgencyGrant Number
Hong Kong Research Grant CouncilHKUST 639/95E
Hong Kong Research Grant CouncilHKUST 6041/97E
Subject Keywords:system identification, Bayes theorem, structural reliability, condition assessment,model updating, structural control
Record Number:CaltechAUTHORS:20120926-090335806
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:34394
Deposited By: Carmen Nemer-Sirois
Deposited On:23 Oct 2012 22:18
Last Modified:03 Oct 2019 04:18

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