Published September 1998 | Version public
Book Section - Chapter

Updating Structural Reliability Based on Dynamic Test Data

Abstract

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.

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.

Additional details

Identifiers

Eprint ID
34394
Resolver ID
CaltechAUTHORS:20120926-090335806

Funding

NSF
CMS-9503370
Hong Kong Research Grant Council
HKUST 639/95E
Hong Kong Research Grant Council
HKUST 6041/97E

Dates

Created
2012-10-23
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Updated
2019-10-03
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