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    Sensitivity Developments for RBDO With Dependent Input Variable and Varying Input Standard Deviation 

    Source: Journal of Mechanical Design:;2017:;volume( 139 ):;issue: 007:;page 71402
    Author(s): Cho, Hyunkyoo; Choi, K. K.; Lamb, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In reliability-based design optimization (RBDO), dependent input random variables and varying standard deviation (STD) should be considered to correctly describe input distribution model. The input dependency and varying ...
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    Design Sensitivity Method for Sampling Based RBDO With Varying Standard Deviation 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 001:;page 11405
    Author(s): Cho, Hyunkyoo; Choi, K. K.; Lee, Ikjin; Lamb, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Conventional reliabilitybased design optimization (RBDO) uses the mean of input random variable as its design variable; and the standard deviation (STD) of the random variable is a fixed constant. However, the constant STD ...
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    Conservative Surrogate Model Using Weighted Kriging Variance for Sampling Based RBDO 

    Source: Journal of Mechanical Design:;2013:;volume( 135 ):;issue: 009:;page 91003
    Author(s): Zhao, Liang; Choi, K. K.; Lee, Ikjin; Gorsich, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In samplingbased reliabilitybased design optimization (RBDO) of largescale engineering applications, the Monte Carlo simulation (MCS) is often used for the probability of failure calculation and probabilistic sensitivity ...
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    Treating Epistemic Uncertainty Using Bootstrapping Selection of Input Distribution Model for Confidence-Based Reliability Assessment 

    Source: Journal of Mechanical Design:;2019:;volume( 141 ):;issue: 003:;page 31402
    Author(s): Moon, Min-Yeong; Choi, K. K.; Gaul, Nicholas; Lamb, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Accurately predicting the reliability of a physical system under aleatory uncertainty requires a very large number of physical output testing. Alternatively, a simulation-based method can be used, but it would involve ...
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    Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data 

    Source: Journal of Mechanical Design:;2017:;volume( 139 ):;issue: 003:;page 31404
    Author(s): Moon, Min-Yeong; Choi, K. K.; Cho, Hyunkyoo; Gaul, Nicholas; Lamb, David; Gorsich, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The conventional reliability-based design optimization (RBDO) methods assume that a simulation model is able to represent the real physics accurately. However, this assumption may not always hold as the simulation model ...
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    Framework of Reliability-Based Stochastic Mobility Map for Next Generation NATO Reference Mobility Model 

    Source: Journal of Computational and Nonlinear Dynamics:;2019:;volume( 014 ):;issue: 002:;page 21012
    Author(s): Choi, K. K.; Jayakumar, Paramsothy; Funk, Matthew; Gaul, Nicholas; Wasfy, Tamer M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A framework for generation of reliability-based stochastic off-road mobility maps is developed to support the next generation NATO reference mobility model (NG-NRMM) using full stochastic knowledge of terrain properties ...
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