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The Path to and State of Geometry and Meshing in 2030: Panel Summary

机译:到2030年几何和网格划分的路径和状态:小组摘要

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Current and emerging trends in High Performance Computing (HPC) are providing transformational capabilities for simulation-based research and development and simulation-based design. Numerous efforts are underway to provide exascale systems in the next decades. HPC architectures are rapidly evolving and the tools and methods need to keep pace with both the scale and the evolving hardware architecture. Emerging HPC capabilities provide potential for simulation of increasingly complex, multi-scale and multi-disciplinary applications for discovery, design and evaluation of aerospace systems. The computational mesh, along with the geometry that it represents, has a considerable impact on the quality, stability, and amount of resources required to complete numerical simulations. Extreme-scale environments require increased levels of process automation and reliability not currently available in state-of-the-art mesh generation tools. These shortcomings make geometry modeling and mesh generation a pacing bottleneck for the future. The paper will summarize the panel discussion that was held at AIAA's 2015 SciTech Conference in which the path for geometry and mesh generation as a supporting element of the NASA CFD 2030 Vision was discussed.
机译:高性能计算(HPC)的当前趋势和新兴趋势为基于仿真的研发和基于仿真的设计提供了转换能力。在接下来的几十年中,正在进行大量努力以提供百亿亿次级系统。 HPC体系结构正在迅速发展,并且工具和方法需要与规模和不断发展的硬件体系结构保持同步。新兴的HPC功能为模拟越来越复杂,多规模和多学科的航空航天系统的发现,设计和评估应用提供了潜力。计算网格及其表示的几何形状对完成数值模拟所需的质量,稳定性和资源量有很大影响。极端规模的环境要求更高水平的过程自动化和可靠性,而当前最新的网格生成工具尚无法提供这种能力。这些缺点使几何建模和网格生成成为未来的步调瓶颈。本文将总结在AIAA 2015年科学技术大会上举行的小组讨论,讨论了几何和网格生成的路径作为NASA CFD 2030 Vision的支持元素。

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