Computational Studies of Near-Wall Behaviors of Low-Reynolds-Number Reynolds-Stress Models

Author:

Yakovenko Sergey N.1,Chang Keh-Chin2

Affiliation:

1. Khristianovich Institute of Theoretical and Applied Mechanics SB RAS, 630090, Novosibirsk, Russia

2. National Cheng Kung University, Tainan 70101, Taiwan, Republic of China

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Aerospace Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ENHANCEMENT OF RANS MODELS BY MEANS OF THE TENSOR BASIS RANDOM FOREST FOR TURBULENT FLOWS IN TWO-DIMENSIONAL CHANNELS WITH BUMPS;Journal of Applied Mechanics and Technical Physics;2023-06

2. Development of explicit algebraic models of Reynolds stresses for flows in channels using gene expression programming;E3S Web of Conferences;2023

3. Application of machine learning methods to develop algebraic Reynolds-stress models for flows in channels;Proceeding of 10th International Symposium on Turbulence, Heat and Mass Transfer, THMT-23, Rome, Italy, 11-15 September 2023;2023

4. Data-driven turbulence modelling using symbolic regression;Journal of Physics: Conference Series;2021-11-01

5. Development of machine learning techniques to enhance turbulence models;Journal of Physics: Conference Series;2021-01-01

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