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    An Improved Fractional Moment Maximum Entropy Method With Polynomial Fitting 

    Source: Journal of Mechanical Design:;2023:;volume( 146 ):;issue: 006:;page 61704-1
    Author(s): Li, Gang; Wang, Yixuan; Zeng, Yan; He, Wanxin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The moment method is commonly used in reliability analysis, in which the maximum entropy method (MEM) and polynomial fitting (PF) have been widely used due to their advantages in accuracy and efficiency, respectively. In ...
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    Maximum Entropy Method-Based Reliability Analysis With Correlated Input Variables via Hybrid Dimension-Reduction Method 

    Source: Journal of Mechanical Design:;2019:;volume( 141 ):;issue: 010:;page 101405
    Author(s): He, Wanxin; Li, Gang; Hao, Peng; Zeng, Yan
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: The estimation of the statistical moments is widely involved in the industrial application, whose accuracy affects the reliability analysis result considerably. In this study, a novel hybrid dimension-reduction method based ...
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    AK-HMC-IS: A Novel Importance Sampling Method for Efficient Reliability Analysis Based on Active Kriging and Hybrid Monte Carlo Algorithm 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 011:;page 111705
    Author(s): Li, Gang;Jiang, Long;Lu, Bin;He, Wanxin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Sampling methods are powerful tools for structural reliability analysis with complex failure domains due to their stability and accuracy. One of the most frequently used sampling methods is the importance sampling (IS) ...
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    A Quantile-Based SORA Method Using Maximum Entropy Method With Fractional Moments 

    Source: Journal of Mechanical Design:;2020:;volume( 143 ):;issue: 004:;page 041702-1
    Author(s): He, Wanxin; Yang, Hua; Zhao, Gang; Zeng, Yan; Li, Gang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Reliability-based design optimization (RBDO) is receiving more attention from researchers because it can help to minimize cost reasonably in practical engineering. A large number of methods have been proposed to solve RBDO ...
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