Sensitivity analysis of unsteady RANS flows

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Conference19th AIAA Computational Fluid Dynamics Conference. Session 127-CFD-25: Unsteady Flow Computation, June 23-25, 2009, San Antonio, TX, USA
Pages123; # of pages: 23
SubjectSensitive equation method (SEM); Unsteady Reynolds-Averaged Navier-Stokes (URANS); turbulence models; Kato-Launder modification; flow analysis; Computational fluid dynamics (CFD)
AbstractIn 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.
Publication date
PublisherAmerican Institute of Aeronautics and Astronautics (AIAA)
Copyright noticeMaterial 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.
AffiliationNRC Industrial Materials Institute (IMI-IMI); National Research Council Canada
Access conditionavailable
Peer reviewedYes
NRC number52364
NPARC number10976304
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Record identifierd0b91864-d09c-4fee-965e-1d0696b12cfe
Record created2009-10-03
Record modified2016-05-09
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