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Quantitative assessment of eddy viscosity rans models for turbulent mixed convection in a differentially heated plane channel

机译:差压平面通道湍流混合对流涡粘度RAS模型的定量评估

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Turbulent mixed convection between two vertical, infinite parallel plates at different temperatures is studied using various two-equation turbulence models. The numerical simulations are performed at a turbulent Reynolds number of Re_τ = 150 and a Grashof number of Gr = 9.6 × 10~5. Comparisons are made against the highly trusted DNS results. Consistent with the DNS approach, the current simulations are performed using constant properties and the Boussinesq approximation to predict the influence of buoyancy. Previous studies have provided assessments of two-equation turbulence models for various scenarios, but often rely on a qualitative "eye" test in order to determine the most appropriate model to predict a given flow. This study aims to provide a new form of quantitative assessment that accounts for both the physics captured by the turbulence model as well as the magnitude of the system response quantities (SRQ) using a modified symmetric mean absolute percent error (SMAPE) method. This method is designed to be approachable to researchers at any level and can be applied to system response quantities from multiple research fields. Uncertainty quantification is also performed to determine the discretization error for each turbulence model. Recommendations are made as to which turbulence models best capture the physics - hydrodynamically and thermally - using both local and global validation metrics. Lastly, a sensitivity analysis is performed on the damping functions used in the most accurate models. This underpins the potential of model developments and adjustments most worth pursuing for buoyant flows. Overall, this framework provides a more physics-based comparative analysis of the selected turbulence models.
机译:使用各种两级湍流模型研究了两个垂直,无限平行板之间的湍流混合对流。数值模拟在湍流雷诺数的RE_τ= 150的湍流reynolds和gr = 9.6×10〜5的格拉什。对高度可靠的DNS结果进行了比较。与DNS方法一致,使用恒定性质和Boussinesq近似来执行当前仿真以预测浮力的影响。以前的研究已经为各种场景提供了两方程湍流模型的评估,但通常依赖于定性的“眼睛”测试,以确定最合适的模型以预测给定流量。本研究旨在提供一种新的定量评估形式,其考虑了湍流模型的物理学以及使用修改的对称平均值误差(Smape)方法的系统响应量(SRQ)的大小。该方法旨在与任何级别的研究人员相同,并且可以应用于来自多个研究领域的系统响应量。还执行不确定性量化以确定每个湍流模型的离散化误差。建议是根据哪种湍流模型最佳地捕获物理学 - 使用本地和全球验证度量来捕获物理学和热。最后,对最准确的模型中使用的阻尼功能进行了灵敏度分析。这使得模型开发和调整的潜力是最值得追求的浮力流动。总体而言,该框架提供了一种更多的基于物理学的比较分析所选湍流模型。

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