TY - EJOU AU - He, Jiaqi AU - Luo, Yangjun TI - A Bayesian Updating Method for Non-Probabilistic Reliability Assessment of Structures with Performance Test Data T2 - Computer Modeling in Engineering \& Sciences PY - 2020 VL - 125 IS - 2 SN - 1526-1506 AB - For structures that only the predicted bounds of uncertainties are available, this study proposes a Bayesian method to logically evaluate the nonprobabilistic reliability of structures based on multi-ellipsoid convex model and performance test data. According to the given interval ranges of uncertainties, we determine the initial characteristic parameters of a multi-ellipsoid convex set. Moreover, to update the plausibility of characteristic parameters, a Bayesian network for the information fusion of prior uncertainty knowledge and subsequent performance test data is constructed. Then, an updated multi-ellipsoid set with the maximum likelihood of the performance test data can be achieved. The credible non-probabilistic reliability index is calculated based on the Kriging-based surrogate model of the performance function. Several numerical examples are presented to validate the proposed Bayesian updating method. KW - Convex model; Bayesian method; non-probabilistic reliability; information fusion DO - 10.32604/cmes.2020.010688