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    Complementary Intersection Method for System Reliability Analysis 

    Source: Journal of Mechanical Design:;2009:;volume( 131 ):;issue: 004:;page 41004
    Author(s): Byeng D. Youn; Pingfeng Wang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Although researchers desire to evaluate system reliability accurately and efficiently over the years, little progress has been made on system reliability analysis. Up to now, bound methods for ...
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    Resilience-Driven System Design of Complex Engineered Systems 

    Source: Journal of Mechanical Design:;2011:;volume( 133 ):;issue: 010:;page 101011
    Author(s): Byeng D. Youn; Chao Hu; Pingfeng Wang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Most engineered systems are designed with a passive and fixed design capacity and, therefore, may become unreliable in the presence of adverse events. Currently, most engineered systems are ...
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    A Generalized Complementary Intersection Method (GCIM) for System Reliability Analysis 

    Source: Journal of Mechanical Design:;2011:;volume( 133 ):;issue: 007:;page 71003
    Author(s): Pingfeng Wang; Chao Hu; Byeng D. Youn
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a Generalized Complementary Intersection Method (GCIM) that can predict system reliability for series, parallel, and mixed systems. The GCIM is an extension of the original ...
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    Random Field Characterization Considering Statistical Dependence for Probability Analysis and Design 

    Source: Journal of Mechanical Design:;2010:;volume( 132 ):;issue: 010:;page 101008
    Author(s): Zhimin Xi; Byeng D. Youn; Chao Hu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The proper orthogonal decomposition method has been employed to extract the important field signatures of random field observed in an engineering product or process. Our preliminary study found ...
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    An Investigation of Nonlinearity of Reliability-Based Design Optimization Approaches 

    Source: Journal of Mechanical Design:;2004:;volume( 126 ):;issue: 003:;page 403
    Author(s): Byeng D. Youn; Assistant Research Engineer; Kyung K. Choi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Because deterministic optimum designs obtained without taking uncertainty into account could lead to unreliable designs, a reliability-based approach to design optimization is preferable using a ...
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    Bayesian Reliability Analysis With Evolving, Insufficient, and Subjective Data Sets 

    Source: Journal of Mechanical Design:;2009:;volume( 131 ):;issue: 011:;page 111008
    Author(s): Pingfeng Wang; Artemis Kloess; Byeng D. Youn; Zhimin Xi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a new paradigm of system reliability prediction that enables the use of evolving, insufficient, and subjective data sets. The data sets can be acquired from expert knowledge, ...
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    Possibility-Based Design Optimization Method for Design Problems With Both Statistical and Fuzzy Input Data 

    Source: Journal of Mechanical Design:;2006:;volume( 128 ):;issue: 004:;page 928
    Author(s): Liu Du; Byeng D. Youn; David Gorsich; K. K. Choi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The reliability based design optimization (RBDO) method is prevailing in stochastic structural design optimization by assuming the amount of input data is sufficient enough to create accurate ...
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    Variation Propagation Analysis on Compliant Assemblies Considering Contact Interaction 

    Source: Journal of Manufacturing Science and Engineering:;2007:;volume( 129 ):;issue: 005:;page 934
    Author(s): Kang Xie; Lee Wells; Jaime A. Camelio; Byeng D. Youn
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Dimensional variation is inherent to any manufacturing process. In order to minimize its impact on assembly products it is important to understand how the variation propagates through the assembly ...
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    Integration of Possibility-Based Optimization and Robust Design for Epistemic Uncertainty 

    Source: Journal of Mechanical Design:;2007:;volume( 129 ):;issue: 008:;page 876
    Author(s): Byeng D. Youn; Kyung K. Choi; David Gorsich; Liu Du
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In practical engineering applications, there exist two different types of uncertainties: aleatory and epistemic uncertainties. This study attempts to develop a robust design optimization with ...
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    Hybrid Analysis Method for Reliability-Based Design Optimization 

    Source: Journal of Mechanical Design:;2003:;volume( 125 ):;issue: 002:;page 221
    Author(s): Byeng D. Youn; Postdoctoral Research Scholar; Young H. Park; Kyung K. Choi; Professor and Director
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Reliability-based design optimization (RBDO) involves evaluation of probabilistic constraints, which can be done in two different ways, the reliability index approach (RIA) and the performance ...
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