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    Structural Reliability Analysis Including Correlated Random Variables Based on Third-Moment Transformation 

    Source: Journal of Structural Engineering:;2017:;Volume ( 143 ):;issue: 008
    Author(s): Zhao-Hui Lu; Chao-Huang Cai; Yan-Gang Zhao
    Publisher: American Society of Civil Engineers
    Abstract: In structural reliability analysis, the input variables are often nonnormal and correlated. A procedure for efficient normal transformation, i.e., transforming dependent nonnormal random variables into independent ...
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    Moment Method with Box–Cox Transformation for Structural Reliability 

    Source: Journal of Engineering Mechanics:;2020:;Volume ( 146 ):;issue: 008
    Author(s): Chao-Huang Cai; Zhao-Hui Lu; Yan-Gang Zhao
    Publisher: ASCE
    Abstract: Structural reliability analysis involving highly nonnormally distributed performance functions or relatively small failure probabilities is still a challenging problem in engineering practice. To overcome these problems, ...
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    Efficient Algorithm for Evaluation of Statistical Moments of Performance Functions 

    Source: Journal of Engineering Mechanics:;2019:;Volume ( 145 ):;issue: 001
    Author(s): Chao-Huang Cai; Zhao-Hui Lu; Jun Xu; Yan-Gang Zhao
    Publisher: American Society of Civil Engineers
    Abstract: Evaluating the statistical moments of performance functions from the perspective of balancing accuracy and efficiency remains a challenge. This paper proposes an efficient algorithm for evaluating the statistical moments ...
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    Time-Dependent Structural Reliability Assessment for Nonstationary Non-Gaussian Performance Functions 

    Source: Journal of Engineering Mechanics:;2021:;Volume ( 147 ):;issue: 002:;page 04020145
    Author(s): Chao-Huang Cai; Zhao-Hui Lu; Yu Leng; Yan-Gang Zhao; Chun-Qing Li
    Publisher: ASCE
    Abstract: In this paper, a new analytical formula is proposed to determine the mean outcrossing rate of nonstationary non-Gaussian performance functions. The performance function is firstly transformed into a standard Gaussian process ...
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