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Summary of Data from the Fifth AIAA CFD Drag Prediction Workshop

机译:第五届AIAA CFD阻力预测研讨会的数据摘要

摘要

Results from the Fifth AIAA CFD Drag Prediction Workshop (DPW-V) are presented. As with past workshops, numerical calculations are performed using industry-relevant geometry, methodology, and test cases. This workshop focused on force/moment predictions for the NASA Common Research Model wing-body configuration, including a grid refinement study and an optional buffet study. The grid refinement study used a common grid sequence derived from a multiblock topology structured grid. Six levels of refinement were created resulting in grids ranging from 0.64x10(exp 6) to 138x10(exp 6) hexahedra - a much larger range than is typically seen. The grids were then transformed into structured overset and hexahedral, prismatic, tetrahedral, and hybrid unstructured formats all using the same basic cloud of points. This unique collection of grids was designed to isolate the effects of grid type and solution algorithm by using identical point distributions. This study showed reduced scatter and standard deviation from previous workshops. The second test case studied buffet onset at M=0.85 using the Medium grid (5.1x106 nodes) from the above described sequence. The prescribed alpha sweep used finely spaced intervals through the zone where wing separation was expected to begin. Some solutions exhibited a large side of body separation bubble that was not observed in the wind tunnel results. An optional third case used three sets of geometry, grids, and conditions from the Turbulence Model Resource website prepared by the Turbulence Model Benchmarking Working Group. These simple cases were intended to help identify potential differences in turbulence model implementation. Although a few outliers and issues affecting consistency were identified, the majority of participants produced consistent results.
机译:介绍了第五届AIAA CFD阻力预测研讨会(DPW-V)的结果。与过去的讲习班一样,使用与行业相关的几何,方法和测试用例进行数值计算。该研讨会的重点是针对NASA通用研究模型机翼构型的力/力矩预测,包括网格细化研究和可选的自助餐研究。网格细化研究使用了从多块拓扑结构化网格派生的通用网格序列。创建了六个细化级别,从而形成了从0.64x10(exp 6)到138x10(exp 6)六面体的网格-比通常看到的范围大得多。然后使用相同的基本点云将网格转换为结构化的覆盖和六面体,棱柱形,四面体和混合非结构化格式。这个独特的网格集合旨在通过使用相同的点分布来隔离网格类型和求解算法的影响。这项研究表明,与以前的研讨会相比,散射和标准偏差有所减少。第二个测试案例使用上述序列中的中型网格(5.1x106个节点)研究了M = 0.85时的自助餐发作。规定的阿尔法扫掠在整个机翼开始分离的区域使用了间隔很小的间隔。一些解决方案表现出很大的车身分离气泡,这在风洞测试结果中没有观察到。可选的第三种情况是使用由湍流模型基准化工作组准备的来自湍流模型资源网站的三组几何图形,网格和条件。这些简单的案例旨在帮助确定湍流模型实施中的潜在差异。尽管确定了一些异常和影响一致性的问题,但大多数参与者产生了一致的结果。

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