کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
761645 1462693 2015 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Influence of spatial discretization schemes on accuracy of explicit LES: Canonical problems to engine-like geometries
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
Influence of spatial discretization schemes on accuracy of explicit LES: Canonical problems to engine-like geometries
چکیده انگلیسی


• Influence of advection term discretization schemes on SGS models performance.
• Numerical dissipation significantly affects LES subgrid-scale model performance.
• Implicit/explicit LES comparison for three experimentally referenced benchmark cases.
• Best performing procedure is used to study the flow in an engine-like geometry.

The choice of the spatial discretization scheme and the subgrid-scale (SGS) model can have a significant impact on the accuracy of Large Eddy Simulations (LES). A systematic study of the influence of the advection term discretization scheme, namely (CDS, LUST) and the SGS model (σ  -model, WALE and dynamic Smagorinsky) on the accuracy of the solution is presented in this work. Three canonical cases with increasing complexity are considered in this study, namely, a fully developed turbulent channel flow with Reτ=395Reτ=395, a backward facing step and a wall-mounted hump. Mean errors with respect to DNS or experimental data are quantified in order to compare the relative accuracy of each combination of scheme/model. Detailed comparison of the numerical simulations performed by the open-source CFD code OpenFOAM® shows that the σ-model with the LUST discretization scheme yields the best results. This combination of σ-model with LUST discretization scheme has hence been used to study the turbulent flow characteristics in an engine-like geometry. Results show good agreement with experimental data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Fluids - Volume 117, 31 August 2015, Pages 62–78
نویسندگان
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