Reconstruction of RANS model and cross-validation of flow field based on tensor basis neural network | |
Song XD; Zhang Z(张珍); Wang YW(王一伟); Ye SR(叶舒然); Huang CG(黄晨光) | |
会议录名称 | ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019 |
2019 | |
会议名称 | ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019 |
会议日期 | July 28, 2019 - August 1, 2019 |
会议地点 | San Francisco, CA, United states |
摘要 | The solution of the Reynolds-averaged Navier-Stokes (RANS) equation has been widely used in engineering problems. However, this model does not provide satisfactory prediction accuracy. Because the widely used eddy viscosity model assumes a linear relationship between the Reynolds stress and the average strain rate tensor and these linear models cannot capture the anisotropic characteristics of the actual flow. In this paper, two kinds of flow field structures of two-dimensional cylindrical flow and circular tube jet are calculated by using the RANS model. Secondly, in order to improve the prediction accuracy of the RANS model, the Reynolds stress of the RANS model is reconstructed by the tensor basis neural network algorithm based on nonlinear eddy viscosity model. Finally, the model trained by neural network is cross-validated, and compare the cross-test results with the traditional RANS k-eps model. The results show that the multi-layer neural network method has achieved good results in turbulence model reconstruction. Copyright © 2019 ASME. |
关键词 | Cross-validation Multi-layer neural network Reynolds stress Turbulence model |
ISBN号 | 9780791859032 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://dspace.imech.ac.cn/handle/311007/85115 |
专题 | 流固耦合系统力学重点实验室 |
作者单位 | 1.College of Engineering, Peking University, Beijing, China 2.Key Laboratory for Mechanics in Fluid Solid Coupling Systems, Institute of Mechanics, Chinese Academy of Sciences, Beijing, China 3.School of Engineering Science, University of Chinese Academy of Science, Beijing, China |
推荐引用方式 GB/T 7714 | Song XD,Zhang Z,Wang YW,et al. Reconstruction of RANS model and cross-validation of flow field based on tensor basis neural network[C]ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019,2019. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论