科技报告详细信息
Summary of the 1st AIAA Geometry and Mesh Generation Workshop (GMGW-1) and Future Plans
Chawner, John R ; Michal, Todd ; Slotnick, Jeffrey P ; Rumsey, Christopher L
关键词: COMPUTATIONAL FLUID DYNAMICS;    DESCRIPTIVE GEOMETRY;    GRID GENERATION (MATHEMATICS);    INTEROPERABILITY;    PREPROCESSING;    UNSTRUCTURED GRIDS (MATHEMATICS);    WIND TUNNEL MODELS;    BODY-WING CONFIGURATIONS;    FINITE ELEMENT METHOD;    LESSONS LEARNED;    WIND TUNNEL TESTS;   
RP-ID  :  NF1676L-27367
学科分类:数值分析
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】

The 1st AIAA Geometry and Mesh Generation Workshop (GMGW-1) was held in conjunction with the AIAA Aviation Forum and Exposition 2017 and in collaboration with the 3rd AIAA Computational Fluid Dynamics (CFD) High Lift Prediction Workshop (HiLiftPW-3). As the first AIAA workshop on these topics, GMGW-1's broad objectives were to assess the current state-of-the art in geometry preprocessing and mesh generation technology as well as software as applied to aircraft and spacecraft systems. The workshop was intended to identify and develop understanding of areas of needed improvement in terms of performance, accuracy, and applicability. It was also to provide a foundation for documenting best practices for geometry preprocessing and mesh generation. The genesis of GMGW-1 is found in the indictments levied against geometry preprocessing and mesh generation - not undeservedly - by the NASA CFD Vision 2030 Study. In order to create a reference against which future progress in geometry preprocessing and mesh generation can be measured, the organizers of GMGW-1, with the assistance of the organizers of HiLiftPW- 3, focused GMGW-1 on generation of meshes of the NASA High Lift Common Research Model (HL-CRM). Some of the generated meshes were provided for use by the participants in HiLiftPW-3. All meshes and the processes by which they were generated were analyzed by GMGW-1 as a first assessment of state of the art practices. The results of GMGW-1 added quantitative detail to known problem areas including geometry modeling, data interoperability, and amount of human intervention. They do provide a clear path toward a vision of geometry preprocessing and mesh generation in the year 2030. The next milepost along this path will be a second workshop.

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