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- W2892272721 abstract "Focusing on the mixed conditions of both random variables and interval variables, this paper constructs a hybrid reliability analysis algorithm based on adaptive step size. First, the double-loop optimization model is decoupled into a sequence reliability analysis model of probability analysis and interval analysis. In probability analysis, we use the existing iterative information to determine the adaptive step length parameters and find the most probability point (MPP). In interval analysis, quadratic programming is used to find the optimum point in the interval variable space. Finally, the results of two case studies show that the proposed algorithm have a good calculation accuracy compared with Monte Carlo Sampling (MCS). In particular, the algorithm also has high calculation efficiency and convergence stability when the performance function has a high degree of nonlinear." @default.
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- W2892272721 date "2018-07-27" @default.
- W2892272721 modified "2023-09-27" @default.
- W2892272721 title "An Adaptive Step Size Based Algorithm for Hybrid Model Reliability Analysis" @default.
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- W2892272721 doi "https://doi.org/10.1145/3242840.3242864" @default.
- W2892272721 hasPublicationYear "2018" @default.
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