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    Reliability Based Design Optimization Modeling Future Redesign With Different Epistemic Uncertainty Treatments 

    Source: Journal of Mechanical Design:;2013:;volume( 135 ):;issue: 009:;page 91006
    Author(s): Matsumura, Taiki; Haftka, Raphael T.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Design under uncertainty needs to account for aleatory uncertainty, such as variability in material properties, and epistemic uncertainty including errors due to imperfect analysis tools. While there is a consensus that ...
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    Teaching a Verification and Validation Course Using Simulations and Experiments With Paper Helicopters 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2016:;volume( 001 ):;issue: 003:;page 31002
    Author(s): Park, Chanyoung; Choi, Joo; Haftka, Raphael T.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In teaching a course on verification and validation (V&V) in scientific simulations, it is desirable for students to carry out repeated experiments on devices/systems that they can build and that can be easily repeated. ...
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    General-Surrogate Adaptive Sampling Using Interquartile Range for Design Space Exploration 

    Source: Journal of Mechanical Design:;2020:;volume( 142 ):;issue: 005:;page 051402-1
    Author(s): Zhang, Yiming; Kim, Nam H.; Haftka, Raphael T.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A surrogate model is a common tool to approximate system response at untested points for design space exploration. Adaptive sampling has been studied for improving the accuracy of surrogates iteratively by introducing ...
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    Function Prediction at One Inaccessible Point Using Converging Lines 

    Source: Journal of Mechanical Design:;2017:;volume( 139 ):;issue: 005:;page 51402
    Author(s): Zhang, Yiming; Park, Chanyoung; Kim, Nam H.; Haftka, Raphael T.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The focus of this paper is a strategy for making a prediction at a point where a function cannot be evaluated. The key idea is to take advantage of the fact that prediction is needed at one point and not in the entire ...
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    Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2019:;volume( 003 ):;issue: 004:;page 41001
    Author(s): Park, Chanyoung; Matthew, Justin; Kim, Nam H.; Haftka, Raphael T.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Experiments of a shock hitting a curtain of particles were conducted at the multiphase shock tube facility at Sandia National Laboratories. These are studied in this paper for quantifying the epistemic uncertainty in the ...
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    On the Use of Symmetries in Building Surrogate Models 

    Source: Journal of Mechanical Design:;2019:;volume( 141 ):;issue: 006:;page 61402
    Author(s): Giselle Fernández-Godino, M.; Balachandar, S.; Haftka, Raphael T.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: When simulations are expensive and multiple realizations are necessary, as is the case in uncertainty propagation, statistical inference, and optimization, surrogate models can achieve accurate predictions at low computational ...
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    Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2019:;volume( 003 ):;issue: 004:;page 41001
    Author(s): Park, Chanyoung; Matthew, Justin; Kim, Nam H.; Haftka, Raphael T.
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Experiments of a shock hitting a curtain of particles were conducted at the multiphase shock tube facility at Sandia National Laboratories. These are studied in this paper for quantifying the epistemic uncertainty in the ...
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    Deciding Degree of Conservativeness in Initial Design Considering Risk of Future Redesign 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 011:;page 111409
    Author(s): Price, Nathaniel B.; Kim, Nam-Ho; Haftka, Raphael T.; Balesdent, Mathieu; Defoort, Sébastien; Le Riche, Rodolphe
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Early in the design process, there is often mixed epistemic model uncertainty and aleatory parameter uncertainty. Later in the design process, the results of high-fidelity simulations or experiments will reduce epistemic ...
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    A Kriging Surrogate Model for Computing Gas Mixture Equations of State 

    Source: Journal of Fluids Engineering:;2019:;volume( 141 ):;issue: 009:;page 91301
    Author(s): Ouellet, Frederick; Park, Chanyoung; Rollin, Bertrand; Haftka, Raphael T.; Balachandar, S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Accurate simulation of the complex flow following the detonation of an explosive material is a challenging problem. In these flows, the detonation products of the explosive must be treated as a real gas while the surrounding ...
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    Early Time Evolution of Circumferential Perturbation of Initial Particle Volume Fraction in Explosive Cylindrical Multiphase Dispersion 

    Source: Journal of Fluids Engineering:;2019:;volume( 141 ):;issue: 009:;page 91302
    Author(s): Fernández-Godino, M. Giselle; Ouellet, Frederick; Haftka, Raphael T.; Balachandar, S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: When an annular bed of solid particles that surrounds a cylindrical high-energy explosive core gets radially dispersed after detonation, the expanding front of particles undergoes instabilities. One of the possible causes ...
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