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Technical Brief

Interpretation of Validation Results Following ASME V&V20-2009

[+] Author and Article Information
Patrick J. Roache

Socorro, NM 87801 e-mail: hermosa@sdc.org

Manuscript received May 16, 2017; final manuscript received August 16, 2017; published online September 7, 2017. Assoc. Editor: Scott Doebling.

J. Verif. Valid. Uncert 2(2), 024501 (Sep 07, 2017) (4 pages) Paper No: VVUQ-17-1019; doi: 10.1115/1.4037706 History: Received May 16, 2017; Revised August 16, 2017

Suggestions are made for modification and extension of the methodology and interpretations of ASME V&V 20-2009, Standard for Verification and Validation in Computational Fluid Dynamics and Heat Transfer. A more conservative aggregation of numerical uncertainty into the total validation uncertainty is recommended. A precise provisional demarcation for accepting the validation comparison error as an estimate of model error is proposed. For the situation where the validation exercise results in large total validation uncertainty, a more easily evaluated estimated bound on model error is recommended. Explicit distinctions between quality of the model and quality of the validation exercise are discussed. Extending the domain of validation for applications is treated by interpolating/extrapolating model error and total validation uncertainty, and adding uncertainty from the new simulation at the application point. Model form uncertainty and epistemic uncertainties in general, while sometimes important in model applications, are argued to not be important issues in validation.

Copyright © 2017 by ASME
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References

ASME, 2009, “ Standard for Verification and Validation in Computational Fluid Dynamics and Heat Transfer,” ASME, New York, Standard No. ASME V&V 20-2009.
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Roache, P. J. , 2009, Fundamentals of Verification and Validation, Hermosa Publishers, Albuquerque, NM, Chap. 3 and Appendix C.
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Jatale, A. , Smith, P. J. , Thornock, J. N. , Smith, S. T. , Spinti, J. P. , and Hradisky, M. , 2017, “ Multiscale Validation and Uncertainty Quantification for Problems With Sparse Data,” ASME J. Verif. Valid. Uncertainty Quantif., 2(1), p. 011001. [CrossRef]

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