Procedure for Estimation and Reporting of Uncertainty Due to Discretization in CFD Applications
Open accessAbstract
Since 1990, the Fluids Engineering Division of ASME has pursued activities concerning the detection, estimation and control of numerical uncertainty and/or error in computational fluid dynamics (CFD) studies. The first quality-control measures in this area were issued in 1986 (1986, “Editorial Policy Statement on Control of Numerical Accuracy,” ASME J. Fluids Eng., 108, p. 2) and revised in 1993 (1993, “Journal of Fluids Engineering Editorial Policy Statement on the Control of Numerical Accuracy,” ASME J. Fluids Eng., 115, pp. 339–340). Given the continued increase in CFD related publications, and the many significant advancements in computational techniques and computer technology, it has become necessary to revisit the issue and formulate a more detailed policy to further improve the quality of publications in this area. This brief note provides specific guidelines for prospective authors for calculation and reporting of discretization error estimates in CFD simulations where experimental data may or may not be available for comparison. The underlying perspective is that CFD-related studies will eventually aim to predict the outcome of a physical event for which experimental data is not available. It should be emphasized that the requirements outlined in this note do not preclude those already published in the previous two policy statements. It is also important to keep in mind that the procedure recommended in this note cannot possibly encompass all possible scenarios or applications.
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- Venue
- Journal of Fluids Engineering
- Publisher
- ASME International
- Published
- 2008
- Volume
- 130
- Issue
- 7
- Pages
- 078001
- ISSN
- 0098-2202 (ISSN-L)
- OpenAlex
- W3136169931
- Cited by
- 4,327
- References
- 0
- Citations by year
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- FWCI
- 31.36
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Fluids Engineering (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Computational Fluid Dynamics and Aerodynamics
- Physical Sciences › Engineering › Computational Mechanics › Advanced Numerical Methods in Computational Mathematics
- Physical Sciences › Mathematics › Numerical Analysis › Differential Equations and Numerical Methods
- Keywords
- discretization error, uncertainty estimation, computational fluid dynamics, numerical accuracy, uncertainty reporting, author guidelines, numerical uncertainty, comparison with experimental data
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