Computational Studies of Near-Wall Behaviors of Low-Reynolds-Number Reynolds-Stress Models
Author:
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
Link
https://arc.aiaa.org/doi/pdf/10.2514/1.J057079
Reference29 articles.
1. On near-wall turbulent flow modelling
2. Modeling Reynolds-Number Effects in Wall-Bounded Turbulent Flows
3. Modeling Turbulent Wall Flows Subjected to Strong Pressure Variations
4. A new approach to modelling near-wall turbulence energy and stress dissipation
5. Low-Reynolds-number second-moment closure without wall-reflection redistribution terms
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
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3