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    Reliability Analysis With Monte Carlo Simulation and Dependent Kriging Predictions 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 012:;page 121403
    Author(s): Zhu, Zhifu; Du, Xiaoping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Reliability analysis is time consuming, and high efficiency could be maintained through the integration of the Kriging method and Monte Carlo simulation (MCS). This Kriging-based MCS reduces the computational cost by ...
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    Time-Dependent System Reliability Analysis for Bivariate Responses 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:003:;page 31002
    Author(s): Hu, Zhen; Zhu, Zhifu; Du, Xiaoping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Time-dependent system reliability is computed as the probability that the responses of a system do not exceed prescribed failure thresholds over a time duration of interest. In this work, an efficient time-dependent ...
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    System Reliability Analysis With Autocorrelated Kriging Predictions 

    Source: Journal of Mechanical Design:;2020:;volume( 142 ):;issue: 010
    Author(s): Wu, Hao; Zhu, Zhifu; Du, Xiaoping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: When limit-state functions are highly nonlinear, traditional reliability methods, such as the first-order and second-order reliability methods, are not accurate. Monte Carlo simulation (MCS), on the other hand, is accurate ...
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