人工智能在非结构化网格生成中的应用

P. Lu, Li-rang Gao, Nianhua Wang, X. Chang, Laiping Zhang, Yadong Wu
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摘要

以人工智能为核心的新一轮科技革命和产业革命正在影响社会各个领域。尽管经过几十年的努力,计算流体动力学(CFD)研究人员在该领域取得了很大进展,但网格生成仍然是复杂几何形状计算流体动力学(CFD)模拟的一个巨大挑战。为了改进传统的非结构化网格生成推进前沿方法,国内外学者在利用人工智能进行有限元网格生成方面进行了许多有益的尝试和探索。本文首先回顾了人工智能技术的发展历史和现状。然后,讨论了大数据时代背景下人工智能在电网生成、规模场预测、电网优化等方面的应用现状,并指出了各种方法的优缺点。最后,阐述了人工智能在电网生成中的发展趋势。
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Application of artificial intelligence in unstructured grid generation
A new round of technological revolution and industrial revolution with artificial intelligence as the core is affecting all fields of society. However, grid generation is still a great challenge for computational fluid dynamics (CFD) simulations over complex geometries even though CFD researchers have made great progress in this field after decades of effort. In order to improve the traditional advancing front method of unstructured grid generation, scholars at home and abroad have carried out many beneficial attempts and explorations in finite element mesh generation using artificial intelligence. Firstly, this paper reviews the development history and present situation of artificial intelligence technology. Then, the application status of artificial intelligence in grid generation, size field prediction and grid optimization under the background of the big data era is discussed, and the advantages and disadvantages of various methods are pointed out. Finally, the development trend of artificial intelligence for grid generation is described.
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