Practical framework for data-driven RANS modeling with data augmentation

被引：0

作者：

Xianwen Guo

Zhenhua Xia

Shiyi Chen

机构：

[1] Peking University,State Key Laboratory for Turbulence and Complex Systems, College of Engineering

[2] Zhejiang University,Department of Engineering Mechanics

[3] Southern University of Science and Technology,Department of Mechanics and Aerospace Engineering

来源：

Acta Mechanica Sinica | 2021年 / 37卷

关键词：

RANS closure; Data augmentation; Machine learning; TBNN;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：1748 / 1756

页数：8

共 62 条

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