Application of artificial intelligence in unstructured grid generation

Peng Lu; Li Gao; Nianhua Wang; Xinghua Chang Sr.; Laiping Zhang Sr.; Yadong Wu

doi:10.1117/12.2639338

15 July 2022 Application of artificial intelligence in unstructured grid generation

Peng Lu, Li Gao, Nianhua Wang, Xinghua Chang Sr., Laiping Zhang Sr., Yadong Wu

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122582A (2022) https://doi.org/10.1117/12.2639338
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

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.

Citation Download Citation

Peng Lu, Li Gao, Nianhua Wang, Xinghua Chang Sr., Laiping Zhang Sr., and Yadong Wu "Application of artificial intelligence in unstructured grid generation", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122582A (15 July 2022); https://doi.org/10.1117/12.2639338

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