Abstract Filtered mesoscale model can be formulated from highly-resolved continuum or discrete simulations. The embedded microscopic homogeneous drag closure (HDC) is of key importance in determining the reliability and accuracy of such simulations. This work investigates the effects of sub-input HDCs on filtered mesoscale predictions using highly-resolved simulations. Quantitative comparisons directly reveal that there are significant differences between the commonly-practiced Wen-Yu drag closure and the direct numerical simulation (DNS) based HDCs, especially for moderate and dense gas-particle flows. Moreover, the HDCs from DNS of static particles agree well with the benchmark data from DNS of dynamic gas-particle flows at very low Reynolds numbers for es > 0.05 ~ 0.10 while Wen-Yu drag is more applicable for the remaining range. Regarding that DNS is commonly implemented over a specific range of operating conditions, an enhanced HDC via refitting more elaborate high-fidelity DNS data (es = [0.01, 0.65], Res = [1, 1000]) from literature is proposed and analyzed.

中文翻译：

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用于流化气体-粒子流过滤中尺度建模的均相阻力闭合的分析与发展

摘要 滤波中尺度模型可以从高分辨率连续介质或离散模拟中制定。嵌入式微观均匀阻力闭合 (HDC) 在确定此类模拟的可靠性和准确性方面至关重要。这项工作使用高分辨率模拟研究了子输入 HDC 对过滤中尺度预测的影响。定量比较直接表明，常用的 Wen-Yu 阻力闭合与基于直接数值模拟 (DNS) 的 HDC 之间存在显着差异，尤其是对于中等和密集的气体颗粒流。此外，来自静态粒子 DNS 的 HDC 与来自动态气体粒子流 DNS 的基准数据在 es > 0.05 ~ 0.10 的非常低的雷诺数下非常吻合，而 Wen-Yu 阻力更适用于其余范围。