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Published August 1998 | public
Book Section - Chapter

Improving Response and Reliability Predictions Using Measured Data

Abstract

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.

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.

Additional details

Created:
August 19, 2023
Modified:
October 19, 2023