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Application of the FUN3D Solver to the 4th AIAA Drag Prediction Workshop

机译:FUN3D解算器在第四届AIAA阻力预测研讨会上的应用

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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 tetrahedral elements was the largest grid known to have been generated using VGRID. FUN3D Version 11.0 has a completely new pre- and postprocessing paradigm that has been incorporated directly into the solver and functions entirely in a parallel, distributed-memory environment. This feature allowed for practical preprocessing 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 two 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. For the grid-convergence case, the FUN3D total and component forces/moments are within one standard deviation of the workshop core solution medians and are very close to the median values especially at the finest grid levels. The FUN3D downwash study and Reynolds-number study results also compare well with the range of results shown in the workshop presentations.
机译:FUN3D Navier-Stokes解决方案针对第四次AIAA阻力预测研讨会网格收敛研究,下冲研究和雷诺数研究针对一组基于节点的混合元素网格进行了计算。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,这些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6亿个四面体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。对于恒定升力的网格收敛情况,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只有两个计数。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。对于网格收敛的情况,FUN3D的总力和部件力/力矩在车间核心解决方案中值的一个标准偏差内,并且非常接近中值,尤其是在最细的网格级别。 FUN3D冲洗研究和雷诺数研究结果也与研讨会报告中显示的结果范围进行了很好的比较。

著录项

  • 来源
    《Journal of Aircraft》 |2014年第4期|1149-1160|共12页
  • 作者单位

    NASA, Langley Res Ctr, Hampton, VA 23681 USA;

    NASA, Langley Res Ctr, Hampton, VA 23681 USA;

    NASA, Langley Res Ctr, Hampton, VA 23681 USA;

    NASA, Langley Res Ctr, Hampton, VA 23681 USA;

    NASA, Langley Res Ctr, Hampton, VA 23681 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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