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Application of the FUN3D Unstructured-Grid Navier-Stokes Solver to the 4th AIAA Drag Prediction Workshop Cases

机译:FUN3D非结构化网格Navier-Stokes解算器在第四届AIAA阻力预测研讨会案例中的应用

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摘要

FUN3D Navier-Stokes solutions were computed for the 4th AIAA Drag Prediction Workshop grid convergence study, downwash study, and Reynolds number study on a set of node-based mixed-element grids. All of the baseline tetrahedral grids were generated with the VGRID (developmental) advancing-layer and advancing-front grid generation software package following the gridding guidelines developed for the workshop. With maximum grid sizes exceeding 100 million nodes, the grid convergence study was particularly challenging for the node-based unstructured grid generators and flow solvers. At the time of the workshop, the super-fine grid with 105 million nodes and 600 million elements was the largest grid known to have been generated using VGRID. FUN3D Version 11.0 has a completely new pre- and post-processing paradigm that has been incorporated directly into the solver and functions entirely in a parallel, distributed memory environment. This feature allowed for practical pre-processing and solution times on the largest unstructured-grid size requested for the workshop. For the constant-lift grid convergence case, the convergence of total drag is approximately second-order on the finest three grids. The variation in total drag between the finest two grids is only 2 counts. At the finest grid levels, only small variations in wing and tail pressure distributions are seen with grid refinement. Similarly, a small wing side-of-body separation also shows little variation at the finest grid levels. Overall, the FUN3D results compare well with the structured-grid code CFL3D. The FUN3D downwash study and Reynolds number study results compare well with the range of results shown in the workshop presentations.
机译:FUN3D Navier-Stokes解决方案是针对第四次AIAA阻力预测研讨会网格收敛研究,下冲研究和基于一组基于节点的混合元素网格的雷诺数研究而计算的。所有基线四面体网格都是使用VGRID(开发)高级层和高级前端网格生成软件包生成的,该软件包遵循为研讨会制定的网格化准则。随着最大网格大小超过1亿个节点,网格收敛性研究对于基于节点的非结构化网格生成器和流量求解器尤其具有挑战性。在研讨会时,具有1.05亿个节点和6亿个元素的超细网格是已知使用VGRID生成的最大网格。 FUN3D版本11.0具有全新的预处理和后处理范例,该范例已直接合并到求解器中,并且完全在并行的分布式内存环境中运行。此功能允许在车间要求的最大非结构化网格尺寸上进行实际的预处理和求解时间。对于恒定升力网格收敛的情况,在最好的三个网格上,总阻力的收敛大约是二阶的。最好的两个网格之间的总阻力变化仅为2个计数。在最好的网格水平上,随着网格的细化,机翼和尾压分布的变化很小。同样,较小的机翼机体侧面间隔在最细的网格水平上也显示出很小的变化。总体而言,FUN3D的结果与结构化网格代码CFL3D相当。 FUN3D冲洗研究和雷诺数研究结果与研讨会报告中显示的结果范围进行了很好的比较。

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