| Download | - View accepted manuscript: Sensitivity analysis of unsteady RANS flows (PDF, 858 KiB)
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| Author | Search for: Gammacurta, E.; Search for: Etienne, S.; Search for: Pelletier, D.; Search for: Ilinca, Florin1 |
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| Affiliation | - National Research Council of Canada. NRC Industrial Materials Institute
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| Format | Text, Article |
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| Conference | 19th AIAA Computational Fluid Dynamics Conference. Session 127-CFD-25: Unsteady Flow Computation, June 23-25, 2009, San Antonio, TX, USA |
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| Subject | Sensitive equation method (SEM); Unsteady Reynolds-Averaged Navier-Stokes (URANS); turbulence models; Kato-Launder modification; flow analysis; Computational fluid dynamics (CFD) |
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| Abstract | In this paper, we presents a continuous sensitivity equation method (SEM) for Unsteady Reynolds-Averaged Navier-Stokes (URANS) simulations with an adaptative Finite Element Method. The development is performed for value parameters that do not affect the geometry of the computational domain. We use the standard κ - ε model of turbulence with wall functions and some of its usual variants such as Kato-Launder modification and RNG. The logarithmic form of transport equations for κ - ε are used. An adaptative remeshing algorithm is developed for time integration of the URANS equations. Formulation and implementation are first verified on a problem with a closed form solution : the decay grid turbulence. This is followed by applications to transient flow reaching a steady state for a backward facing step and vortex shedding behind a cylinder. Flow and sensitivity analyses are performed. Serveral uses of sensitivity information are demonstrated : identification of key parameters controlling the flow, assessing the influence of closure coefficients, and nearby solutions. |
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| Publication date | 2009-06 |
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| Terms of use | - Material in this document is covered by the provisions of the Copyright Act, by Canadian laws, policies, regulations and international agreements. Such provisions serve to identify the information source and, in specific instances, to prohibit reproduction of materials without written permission.
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 52364 |
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| NPARC number | 10976304 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | d0b91864-d09c-4fee-965e-1d0696b12cfe |
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| Record created | 2009-10-03 |
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| Record modified | 2020-08-12 |
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