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Application of a parallel solver to the LES modelling of turbulent buoyant flows with heat transfer

机译:并行求解器在带传热湍流浮流LES模型中的应用

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An existing fully implicit, non-dissipative direct numerical simulation (DNS) algorithm is reformulated to utilise the sub-grid scale (SGS) models in large eddy simulation (LES). The Favre-filtered equations with low-Mach number scaling are derived. The wall-adapting local eddy-viscosity (WALE) is used as SGS model. A fully parallel, finite volume solver is developed based on the resulting LES algorithm using PETSc library and applied to buoyancy- and thermally-driven transitional/turbulent flows in Rayleigh-Taylor instability and turbulent Rayleigh-Bénard convection. Results verify that the proposed low-Mach number LES approach, which is physically more accurate than pure incompressible methods for flows with variable properties, perfectly captures the evolution and complex physics of turbulent buoyant flows with or without heat transfer by taking the effects of density and viscosity changes into account without the Oberbeck-Boussinesq (OB) assumption even at large temperature differences with uniform accuracy and efficiency.
机译:重新构造了现有的完全隐式,非耗散直接数值模拟(DNS)算法,以在大涡模拟(LES)中利用子网格规模(SGS)模型。推导了具有低马赫数比例的Favre滤波方程。贴壁的局部涡粘性(WALE)被用作SGS模型。基于最终的LES算法,使用PETSc库开发了完全并行的有限体积求解器,并将其应用于在Rayleigh-Taylor不稳定和湍流Rayleigh-Bénard对流中的浮力和热驱动过渡/湍流。结果验证了所提出的低马赫数LES方法在物理上比具有可变特性的纯不可压缩方法更精确,并且通过考虑密度和密度的影响,完美地捕获了有或没有传热的湍流浮力流的演化和复杂的物理过程。无需考虑Oberbeck-Boussinesq(OB),即使在温差较大且准确度和效率均一的情况下,也可以考虑粘度变化。

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