UFR 3-18 Best Practice Advice: Difference between revisions
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{{UFR|front=UFR 3-18|description=UFR 3-18 Description|references=UFR 3-18 References|testcase=UFR 3-18 Test Case|evaluation=UFR 3-18 Evaluation|qualityreview=UFR 3-18 Quality Review|bestpractice=UFR 3-18 Best Practice Advice|relatedACs=UFR 3-18 Related ACs}} | {{UFR|front=UFR 3-18|description=UFR 3-18 Description|references=UFR 3-18 References|testcase=UFR 3-18 Test Case|evaluation=UFR 3-18 Evaluation|qualityreview=UFR 3-18 Quality Review|bestpractice=UFR 3-18 Best Practice Advice|relatedACs=UFR 3-18 Related ACs}} | ||
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* use higher order discretisation, especially on momentum | * use higher order discretisation, especially on momentum | ||
* use low-Reynolds non-linear models to capture the effect of near-wall non-isotropy and flow curvature in adverse pressure gradients. k- | * use low-Reynolds non-linear models to capture the effect of near-wall non-isotropy and flow curvature in adverse pressure gradients. k-ω models predict separation better than the equivalent k-ε models | ||
* LES modeling is to be recommended where ever possible | * LES modeling is to be recommended where ever possible | ||
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{{UFR|front=UFR 3-18|description=UFR 3-18 Description|references=UFR 3-18 References|testcase=UFR 3-18 Test Case|evaluation=UFR 3-18 Evaluation|qualityreview=UFR 3-18 Quality Review|bestpractice=UFR 3-18 Best Practice Advice|relatedACs=UFR 3-18 Related ACs}} | {{UFR|front=UFR 3-18|description=UFR 3-18 Description|references=UFR 3-18 References|testcase=UFR 3-18 Test Case|evaluation=UFR 3-18 Evaluation|qualityreview=UFR 3-18 Quality Review|bestpractice=UFR 3-18 Best Practice Advice|relatedACs=UFR 3-18 Related ACs}} | ||
Latest revision as of 13:33, 12 February 2017
2D Boundary layers with pressure gradients (B)
Underlying Flow Regime 3-18 © copyright ERCOFTAC 2004
Best Practice Advice
Best Practice Advice for the UFR
The case studies associated with this UFR all demonstrate good practices, which for fully turbulent 2D boundary-layer separation in an adverse pressure gradient may be summarized as follows;
- perform grid dependency studies to eliminate sensitivities due to mesh
- assess the effect of sensitivity to boundary conditions by varying the critical inputs
- use higher order discretisation, especially on momentum
- use low-Reynolds non-linear models to capture the effect of near-wall non-isotropy and flow curvature in adverse pressure gradients. k-ω models predict separation better than the equivalent k-ε models
- LES modeling is to be recommended where ever possible
- The V2F turbulence model demonstrates good near-wall flow predictions, and should be investigated for a wider class of problems to boost confidence in its performance.
© copyright ERCOFTAC 2004
Contributors: Fred Mendonca - Computational Dynamics Ltd