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Updating robust reliability using structural test data
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DOI：10.1016/S0266-8920(00)00012-6.png)
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Abstract
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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 that 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, including a case with a tuned-mass damper attached to the deck, shows that the robust reliabilities computed before and after updating with measured dynamic data can differ significantly. (C) 2001 Elsevier Science Ltd. All rights reserved.
Keywords:
system identification
Bayes theorem
structural reliability
condition assessment
model updating
structural control
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