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Extension of the partially integrated transport modeling method to the simulation of passive scalar turbulent fluctuations at various Prandtl numbers

机译:延伸部分集成的运输建模方法在各种普朗特数下被动标量湍流波动模拟

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The present work aims to extend the hybrid non zonal RANS/LES partially integrated transport modeling (PITM) method to turbulent flows in the presence of passive scalar contaminant for simulating large scales of turbulent flows. Focussing on the methodological aspects, we derive the basic transport equations both for the scalar variance of fluctuations and dissipation-rate of the variance. The basis of the method was introduced in references [R. Schiestel and A. Dejoan, "Towards a new partially integrated transport model for coarse grid and unsteady turbulent flow simulations ", Theor. Comput. Fluid Dyn. 18, 443 (2005)] and [B. Chaouat and R. Schiestel, "A new partially integrated transport model for subgrid-scale stresses and dissipation rate for turbulent developing flows ", Phys. Fluids 17, 065106 (2005)]. It provides a continuous approach for hybrid Reynolds averaged Navier-Stokes equations-large eddy simulation (RANS-LES) with seamless coupling between RANS and LES regions. The main motivation is to simulate accurately in LES mode performed on coarse grids, scalar fluctuation fields, in addition to mean scalar fields. As known, the knowledge of the rms scalar fluctuations is often involved in handling practical engineering and geophysical flows. Like in dynamical equations, it is found that the coefficient appearing in the destruction term of the dissipation-rate of the scalar variance is a function of the cutoff-wave number and also of the Prandtl number and the Reynolds number. Depending on the value of the Prandtl-number, different expressions of this function have been derived according to the relevant physics in the wave number space. Finally, numerical simulations of fully turbulent flows including passive scalar transport fields have been performed on several meshes of medium and coarse grid resolutions at the Reynolds number R tau = 395 for the Prandtl numbers Pr = 0.1, 1 and 10, respectively associated with heat transfer of liquid metals, gas and water for illustrating the theoretical development made on PITM. As expected, the PITM method provides satisfactory results in good agreement with data of direct numerical simulations. From a general point of view, this work opens new routes of modeling and simulation of turbulent flows including a passive scalar with a drastic reduction of the computational time and memory in term of number of grid points in comparison with the demanding resources of highly resolved LES.
机译:目前的工作旨在在被动标量污染物存在下延伸混合非划线rans部分集成的传输建模(PITM)方法,以模拟湍流流动的大尺度。专注于方法论方面,我们推出了对差异波动和耗散率的标量纲和耗散率的基本传输方程。参考文献中介绍了该方法的基础[R. Schiestel和A. dejoan,“朝着粗网和不稳定湍流流动模拟的新部分综合的运输模型”,“。计算。流体达顿。 18,443(2005)]和[B. CHAOUAT和R. SCHIESTEL,“源性发展流量的划分规模应力和耗散率的新部分综合运输模型”,PHY。流体17,065106(2005)]。它提供了一种连续的Hybrid Reynolds vier-Stokes方程 - 大涡模拟(Rans-les),在Rans和Les地区之间的无缝耦合。主要动机是在粗网格,标量波动场上执行精确地模拟LES模式,除了平均标量字段之外。如已知的,RMS标量波动的知识通常涉及处理实际工程和地球物理流动。在动态方程中,发现在标量纲的耗散速率的破坏术语中出现的系数是截止波数和雷诺数和雷诺数的函数。根据prandtl-number的值,根据波数空间中的相关物理来导出此功能的不同表达式。最后,已经在雷诺数R Tau = 395的媒体和粗网分辨率的几个介质和粗网分辨率上执行了完全湍流的数值模拟,用于分别与传热相关联液体金属,气体和水用于说明PITM的理论开发。正如预期的那样,PITM方法与直接数值模拟数据吻合良好的达成符合结果。从一般的角度来看,这项工作开启了湍流流程的新的建模和模拟路由,包括被动标量的被动标量,与高度分辨的LES的苛刻资源相比,网格点数的计算时间和内存中的计算时间和内存急剧下降。

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