典型文献
                Fourier neural operator approach to large eddy simulation of three-dimensional turbulence
            文献摘要:
                    Fourier neural operator (FNO) model is developed for large eddy simulation (LES) of three-dimensional (3D) turbulence. Velocity fields of isotropic turbulence generated by direct numerical simulation (DNS) are used for training the FNO model to predict the filtered velocity field at a given time. The input of the FNO model is the filtered velocity fields at the previous several time-nodes with large time lag. In the a posteriori study of LES, the FNO model performs better than the dynamic Smagorinsky model (DSM) and the dynamic mixed model (DMM) in the prediction of the velocity spectrum, probability density functions (PDFs) of vorticity and velocity increments, and the instantaneous flow structures. Moreover, the proposed model can significantly reduce the computational cost, and can be well generalized to LES of turbulence at higher Taylor-Reynolds numbers.
                文献关键词:
                    
                中图分类号:
                    作者姓名:
                    
                        Zhijie Li;Wenhui Peng;Zelong Yuan;Jianchun Wang
                    
                作者机构:
                    Department of Mechanics and Aerospace Engineering,Southern University of Science and Technology,Shenzhen 518055,China;Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou),511458,China;Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications,Southern University of Science and Technology,Shenzhen 518055,China;Department of Computer Engineering,Polytechnique Montreal,Montreal H3T1J4,Canada
                文献出处:
                    
                引用格式:
                    
                        [1]Zhijie Li;Wenhui Peng;Zelong Yuan;Jianchun Wang-.Fourier neural operator approach to large eddy simulation of three-dimensional turbulence)[J].力学快报(英文),2022(06):438-444
                    
                A类:
                FNO
                B类:
                    Fourier,neural,operator,approach,large,eddy,simulation,three,dimensional,turbulence,model,developed,LES,Velocity,fields,isotropic,generated,by,direct,numerical,DNS,are,used,training,filtered,velocity,given,input,previous,several,nodes,lag,In,posteriori,study,performs,better,than,dynamic,Smagorinsky,DSM,mixed,DMM,prediction,spectrum,probability,density,functions,PDFs,vorticity,increments,instantaneous,flow,structures,Moreover,proposed,significantly,reduce,computational,cost,well,generalized,higher,Taylor,Reynolds,numbers
                AB值:
                    0.53576
                相似文献
                
            机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。