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首页> 外文期刊>Bulletin of the American Physical Society >APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - Upscaling the Navier-Stokes Equation for Turbulent Flows in Porous Media Using a Volume Averaging Method
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APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - Upscaling the Navier-Stokes Equation for Turbulent Flows in Porous Media Using a Volume Averaging Method

机译:APS -70TH流体动力学APS划分的年会 - 事件 - 使用体积平均法测量多孔介质中湍流流动的湍流流动

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摘要

Turbulent flows through porous media are encountered in a number of natural and engineered systems. Many attempts to close the Navier-Stokes equation for such type of flow have been made, for example using RANS models and double averaging. On the other hand, Whitaker (1996) applied volume averaging theorem to close the macroscopic N-S equation for low Re flow. In this work, the volume averaging theory is extended into the turbulent flow regime to posit a relationship between the macroscale velocities and the spatial velocity statistics in terms of the spatial averaged velocity only. Rather than developing a Reynolds stress model, we propose a simple algebraic closure, consistent with generalized effective viscosity models (Pope 1975), to represent the spatial fluctuating velocity and pressure respectively. The coefficients (one 1st order, two 2nd order and one 3rd order tensor) of the linear functions depend on averaged velocity and gradient. With the data set from DNS, performed with inertial and turbulent flows (pore Re of 300, 500 and 1000) through a periodic face centered cubic (FCC) unit cell, all the unknown coefficients can be computed and the closure is complete. The macroscopic quantity calculated from the averaging is then compared with DNS data to verify the upscaling.
机译:在许多天然和工程系统中遇到过多孔介质的湍流流动。已经进行了许多关闭用于这种流程类型的Navier-Stokes方程,例如使用RAN模型和双平均。另一方面,Whitaker(1996)施加体积平均定理以关闭宏观N-S方程以进行低重新流动。在这项工作中,体积平均理论延伸到湍流状态,以在仅空间平均速度方面的宏观速度和空间速度统计之间的关系。我们提出了一种简单的代数封闭,而不是开发雷诺应力模型,而是与广义有效粘度模型(POPE 1975)一致,分别表示空间波动速度和压力。线性函数的系数(一个第一顺序,两个第二顺序和一个第三订单张量)取决于平均速度和梯度。利用来自DNS的数据集,通过周期性面对的立方(FCC)单元电池以惯性和湍流(孔RE)(孔Re,500,500和1000)执行,可以计算所有未知系数并且闭包完成。然后将由平均值计算的宏观量与DNS数据进行比较以验证Upscaling。

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