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    Assessment Criteria for Computational Fluid Dynamics Model Validation Experiments 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2017:;volume( 002 ):;issue: 003:;page 31002
    Author(s): Oberkampf; William L.;Smith; Barton L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Validation assesses the accuracy of a mathematical model by comparing simulation results to experimentally measured quantities of interest. Model validation experiments emphasize obtaining detailed information on all input ...
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    A New Formulation for Computational Fluid Dynamics 

    Source: Journal of Fluids Engineering:;1979:;volume( 101 ):;issue: 004:;page 453
    Author(s): D. B. Reed; W. L. Oberkampf
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new vector quantity in fluid dynamics is defined and a vector transport equation for the quantity is derived. The new vector quantity is defined as the curl of the vorticity and is referred ...
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    Discussion: “Comprehensive Approach to Verification and Validation of CFD Simulations—Part 1: Methodology and Procedures” (Stern, F., Wilson, R. V., Coleman, H. W., and Paterson, E. G., 2001, ASME J. Fluids Eng., 123, pp. 793–802) 

    Source: Journal of Fluids Engineering:;2002:;volume( 124 ):;issue: 003:;page 809
    Author(s): William L. Oberkampf; Distinguished Member Technical Staff
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The paper by Stern et al. proposes a comprehensive approach to verification and validation of computational fluid dynamics simulations. Although the authors present a new perspective for quantifying ...
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    Closure on the Discussion of “Models, Uncertainty, and the Sandia V&V Challenge Problem” (Hazelrigg, G. A., and Klutke, G. A., ASME J. Verif. Valid. Uncert., 2020, 5(1), p. 015501) 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2020:;volume( 005 ):;issue: 003:;page 035501-1
    Author(s): Oberkampf, William L.; Balch, Michael S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This comment repudiates these bold claims made by Hazelrigg and Klutke. It is divided into four topics; interpretation of probability, uncertainty of probability, model validation, and advanced UQ frameworks.The Discussion ...
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    Closure on the Discussion of “Models, Uncertainty, and the Sandia V&V Challenge Problem” (Hazelrigg, G. A., and Klutke, G. A., ASME J. Verif. Valid. Uncert., 2020, 5(1), p. 015501) 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2020:;volume( 005 ):;issue: 003:;page 035501-1
    Author(s): Oberkampf, William L.; Balch, Michael S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This comment repudiates these bold claims made by Hazelrigg and Klutke. It is divided into four topics; interpretation of probability, uncertainty of probability, model validation, and advanced UQ frameworks.The Discussion ...
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    Drag of Bodies of Revolution in Supercavitating Flow 

    Source: Journal of Fluids Engineering:;1989:;volume( 111 ):;issue: 003:;page 300
    Author(s): W. P. Wolfe; C. E. Hailey; W. L. Oberkampf
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The drag of bodies of revolution at zero degree angle of attack in supercavitating flow has been calculated. The potential flow about the body and cavity is calculated using an axial distribution ...
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    Verification, validation, and predictive capability in computational engineering and physics 

    Source: Applied Mechanics Reviews:;2004:;volume( 057 ):;issue: 005:;page 345
    Author(s): William L Oberkampf; Timothy G Trucano; Charles Hirsch
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Developers of computer codes, analysts who use the codes, and decision makers who rely on the results of the analyses face a critical question: How should confidence in modeling and simulation ...
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    Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2023:;volume( 008 ):;issue: 001:;page 11001-1
    Author(s): Whiting, Nolan W.; Roy, Christopher J.; Duque, Earl; Lawrence, Seth; Oberkampf, William L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Model validation is the process of determining the degree to which a model is an accurate representation of the true value in the real world. The results of a model validation study can be used to either quantify the model ...
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    Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2023:;volume( 008 ):;issue: 001:;page 11001
    Author(s): Whiting, Nolan W.;Roy, Christopher J.;Duque, Earl;Lawrence, Seth;Oberkampf, William L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Model validation is the process of determining the degree to which a model is an accurate representation of the true value in the real world. The results of a model validation study can be used to either quantify the model ...
    Request PDF
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