A Bayesian framework for structural fragility assessment is described. The approach allows full use of information available from mathematical models, laboratory tests data, post-earthquake field observation, and engineering judgement. Consistent account is made of all uncertainties, includign those arising from inherent variabilities, model imperfection, measurement error, and statistical uncertainty. The distinct natures of inherent and epistemic uncertainties are discussed. Point estimates of fragility as well as confidence bounds that reflect the influence of epistemic uncertainties are formulated. Two example applications demonstrate the methodology.
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