Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session D31: Large Eddy Simulations: Modeling
2:30 PM–4:40 PM,
Sunday, November 18, 2018
Georgia World Congress Center
Room: B403
Chair: Anthony Leonard, California Institute of Technology
Abstract ID: BAPS.2018.DFD.D31.6
Abstract: D31.00006 : OpenFOAM based Evaluation of PANS Method with Non-Linear Eddy Viscosity Closure for Separated Turbulent Flows
3:35 PM–3:48 PM
Presenter:
Sagar Saroha
(Indian Institute of Technology Delhi)
Authors:
Sagar Saroha
(Indian Institute of Technology Delhi)
Sawan S. Sinha
(Indian Institute of Technology Delhi)
Sunil Lakshmipathy
(Gexcon AS)
At high Reynolds number (Re), the traditional Reynolds averaged Navier-Stokes (RANS) approach based on the Boussinesq hypothesis is incapacitated in two aspects: indiscriminate averaging of flow variables and linear eddy-viscosity model (LEVM) closure. Despite satisfactory performance of LEVM+RANS in several flows of practical interest; at high-Re turbulent flows - it fails to capture essential flow features. Partially averaged Navier-Stokes (PANS) methodology, being a scale resolving bridging method, is inherently more suitable than RANS for simulating turbulent flows. However, PANS equations, derived from RANS, continue to inherit the inadequacies from the parent RANS model based on LEVM closure.
To enhance PANS’ capabilities for simulating separated flows, we attempt to address the shortcomings of the LEVM closure. Our study is categorized into three steps: (i) Extraction of PANS version from non-linear eddy viscosity model (NLEVM) based RANS, (ii) Asymptotic analysis of the model and influence of filter-width control parameter on turbulent stresses in the homogeneous turbulence environment and (iii) Implementation in OpenFOAM and evaluation of the model (in predicting mean and instantaneous flow features) in separated non-homogeneous high Re flow past square cylinder.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.D31.6
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