کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
756413 1462700 2015 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Parallel adaptive mesh refinement for large-eddy simulations of turbulent flows
ترجمه فارسی عنوان
پالایش موازی تطبیقی ​​برای شبیه سازی بزرگ جریان الکتریسیته ساکن
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی


• We present a parallel AMR for LES of turbulent flows.
• Kinetic conservation properties are tested for meshes resulting from the AMR.
• AMR cell-based is applied with a physic refinement criteria based on the VMS theory.
• The parallel performance has been attested on an AMB Opteron based supercomputer.
• Results of AMR for turbulent flow around square cylinder at Re = 22,000 are presented.

In this paper a parallel adaptive mesh refinement (AMR) strategy for large eddy simulations (LES) of turbulent flows is presented. The underlying discretization of the Navier–Stokes equations is based on a finite-volume symmetry-preserving formulation, with the aim of preserving the symmetry properties of the continuous differential operators and ensure both, stability and conservation of kinetic-energy balance. The conservation properties are tested for the meshes resulting from the AMR process, which typically contain transitions between zones with different level of refinement. Our AMR scheme applies a cell-based refinement technique, with a physics-based refinement criteria based on the variational multi-scale (VMS) decomposition theory. The overall AMR process, from the selection of the cells to be refined/coarsened till the pre-processing of the resulting mesh, has been implemented in a parallel code, for which the parallel performance has been attested on an AMD Opteron based supercomputer. Finally, the robustness and accuracy of our methodology is shown on the numerical simulation of the turbulent flow around a square cylinder at Re = 22,000 and the turbulent flow around two side-by-side square cylinders at Re = 21,000.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Fluids - Volume 110, 30 March 2015, Pages 48–61
نویسندگان
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