{"title":"Application of artificial intelligence in unstructured grid generation","authors":"P. Lu, Li-rang Gao, Nianhua Wang, X. Chang, Laiping Zhang, Yadong Wu","doi":"10.1117/12.2639338","DOIUrl":null,"url":null,"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.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Networks, Information and Communication Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2639338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.