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| Optimization and application of two-dimensional advancing grid generation method based on BP algorithm |
| Received:January 30, 2023 Revised:April 02, 2023 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20230130001 |
| KeyWord:computational fluid dynamics machine learning BP algorithm AFT grid generation |
| Author | Institution |
| 刘翰林 |
石家庄铁道大学 数理系, 石家庄 |
| 崔会敏 |
石家庄铁道大学 省部共建交通工程结构力学行为与系统安全国家重点实验室, 石家庄 ;河北省风工程和风能利用工程技术创新中心, 石家庄 ;石家庄铁道大学 数理系, 石家庄 |
| 张珍 |
石家庄铁道大学 省部共建交通工程结构力学行为与系统安全国家重点实验室, 石家庄 ;河北省风工程和风能利用工程技术创新中心, 石家庄 ;石家庄铁道大学 土木工程学院, 石家庄 |
| 韩智铭 |
石家庄铁道大学 省部共建交通工程结构力学行为与系统安全国家重点实验室, 石家庄 ;河北省风工程和风能利用工程技术创新中心, 石家庄 ;石家庄铁道大学 土木工程学院, 石家庄 |
| 刘庆宽 |
石家庄铁道大学 省部共建交通工程结构力学行为与系统安全国家重点实验室, 石家庄 ;河北省风工程和风能利用工程技术创新中心, 石家庄 ;石家庄铁道大学 土木工程学院, 石家庄 |
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| Abstract: |
| In computational fluid dynamics,mesh quality and generation efficiency are very important to the accuracy and efficiency of numerical analysis.In this paper,a node-screening algorithm is established by using the normal of advancing front to classify and screen the generated grids on the basis of the BP algorithm of unstructured grid front advancing method.We also construct a neural network structure and reset loss function and activation function in order to achieve the optimization effect.Finally,several two-dimensional unstructured triangular meshes are generated by using the optimized method (taking cylinder heat transfer problems,NACA-0012 airfoil flow problems and a group of single joint crack diffusion problems as examples).Mesh quality and generation time are tested using specific methods.The results are compared with the traditional front advancing method and the combined neural network front advancing method before optimization.The results show that,on the premise that the grid quality is not degraded,especially for the grid division of complex shapes,the optimized method reduces the generation time by about 43%,compared with the traditional front advancing method,and about 25%,compared with the combined neural network front advancing method before optimization,which shows that the grid generation efficiency is significantly improved. |
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