典型文献
An iterative data-driven turbulence modeling framework based on Reynolds stress representation
文献摘要：
Data-driven turbulence modeling studies have reached such a stage that the basic framework is settled,but several essential issues remain that strongly affect the performance.Two problems are studied in the current research:(1)the processing of the Reynolds stress tensor and(2)the coupling method be-tween the machine learning model and flow solver.For the Reynolds stress processing issue,we perform the theoretical derivation to extend the relevant tensor arguments of Reynolds stress.Then,the tensor representation theorem is employed to give the complete irreducible invariants and integrity basis.An adaptive regularization term is employed to enhance the representation performance.For the coupling issue,an iterative coupling framework with consistent convergence is proposed and then applied to a canonical separated flow.The results have high consistency with the direct numerical simulation true values,which proves the validity of the current approach.
文献关键词：
中图分类号：
作者姓名：
Yuhui Yin;Zhi Shen;Yufei Zhang;Haixin Chen;Song Fu
作者机构：
School of Aerospace Engineering,Tsinghua University,Beijing 100084,China;China Academy of Launch Vehicle Technology,Beijing 100076,China
文献出处：
引用格式：
[1]Yuhui Yin;Zhi Shen;Yufei Zhang;Haixin Chen;Song Fu-.An iterative data-driven turbulence modeling framework based on Reynolds stress representation)[J].力学快报（英文）,2022(05):371-387
A类：
B类：
An,iterative,data,driven,turbulence,modeling,framework,Reynolds,stress,representation,Data,studies,have,reached,such,stage,that,basic,settled,but,several,essential,issues,remain,strongly,affect,performance,Two,problems,are,studied,current,research,processing,tensor,coupling,method,be,tween,machine,learning,flow,solver,For,theoretical,derivation,extend,relevant,arguments,Then,theorem,employed,give,complete,irreducible,invariants,integrity,basis,adaptive,regularization,term,enhance,consistent,convergence,proposed,then,applied,canonical,separated,results,high,consistency,direct,numerical,simulation,true,values,which,proves,validity,approach
AB值：
0.61086
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