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Improving Response and Reliability Predictions Using Measured Data

Beck, J. L. and Papadimitriou, C. and Katafygiotis, L. S. (1998) Improving Response and Reliability Predictions Using Measured Data. In: Proceedings Fourth International Conference on Stochastic Structural Dynamics. Balkema , Rotterdam, Netherlands. ISBN 9058090248.

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The concept of robust reliability is defined to take into account uncertainties from structural modeling in addition to the uncertain excitation a structure will experience during its lifetime. A Bayesian probabilistic methodology for system identification is integrated with probabilistic structural analysis tools for the purpose of updating the assessment of the robust reliability based on dynamic test data. Methods for updating the structural reliability for both identifiable and unidentifiable models are presented. Application of the methodology to a simple beam model of a single-span bridge with soil-structure interaction at the abutments, shows that the robust reliabilities computed before and after updating with "measured" dynamic data can differ significantly.

Item Type:Book Section
Papadimitriou, C.0000-0002-9792-0481
Additional Information:© 1999 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, HKlJST, 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
Record Number:CaltechAUTHORS:20120926-092337769
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:34398
Deposited By: Carmen Nemer-Sirois
Deposited On:15 Oct 2012 18:19
Last Modified:03 Oct 2019 04:18

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