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Assessment of filtered-based RANS turbulence model for unsteady separated flow prediction

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The k-ε two-equation model is one of the most widely used Reynolds-averaged Navier- Stockes (RANS) approach for turbulent flow computations. Well-recognized deficiencies are associated with these models when treating steady and time dependent separated flows. The objective of this study is to investigate a filtered-based RANS k-ε two equation model in an effort to improve the predictive capability of the current RANS-based engineering turbulence closures. The model is assessed on a variety of test cases, a square cylinder1 and a surface-mounted cube2 are chosen to examine transient highly separated wake flows. Multiple grid levels and multiple sub-filter sizes are used for sensitivity analysis. In comparison to the presented k-ε model, overall, the filtered-based model is shown to improve the predictive capability considerably.

Original languageEnglish
Title of host publication46th AIAA Aerospace Sciences Meeting and Exhibit
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781563479373
DOIs
StatePublished - 2008
Externally publishedYes

Publication series

Name46th AIAA Aerospace Sciences Meeting and Exhibit

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