亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Predictions of Channel and Boundary-Layer Flows with a Low-Reynolds-Number Turbulence Model

作者
Kuei-Yuan Chien
出处
期刊:AIAA Journal [American Institute of Aeronautics and Astronautics]
卷期号:20 (1): 33-38 被引量:1279
标识
DOI:10.2514/3.51043
摘要

2~5 However, the effects of the kinematic viscosity on the turbulence structure were ignored in many of these treatments. Consequently, the exact boundary conditions at the wall cannot be used when the turbulence Reynolds number is not high as, e.g., in flows with rapid expansions or near the transition/turbulence interface. The general goal of the present investigation was to develop a single transport model from the Navier-Stokes equation for accurate predictions of skin friction, heat transfer, and fluctuating kinetic energy distributions in transitional and turbulent flow regimes. As a first step toward this general goal, a new turbulence model valid down to the solid wall is formulated in this paper. Turbulence model equations which provide predictions of the flow within the viscous layer adjacent to the wall have been proposed by several investigators.3'4'6'7 Although the general approach of the present model is the same as that of Jones and Launder,3 the detailed proposals are substantially different. In the present study, the Taylor series expansion technique was used to systematically investigate the proper behavior of the turbulent shear stress and the kinetic energy and its rate of dissipation near a solid wall. The results were used in developing a new turbulence model which retains the proper physical behavior of the balance between the dissipation and the molecular diffusion of the turbulent kinetic energy at the solid wall. The model was applied to the problems of a fully developed turbulent channel flow and of a turbulent boundary-layer flow over a flat plate. Results on skin friction, the distribution of mean velocity, turbulent shear stress, and turbulent kinetic energy will be presented and compared with available experimental data and with the theory of Jones and Launder.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
YumiPg发布了新的文献求助10
3秒前
灯影发布了新的文献求助10
12秒前
健康的紫文完成签到,获得积分10
18秒前
欢喜的晓槐完成签到,获得积分10
21秒前
孝顺的怜寒完成签到,获得积分10
22秒前
灯影完成签到,获得积分10
25秒前
阿甘完成签到 ,获得积分10
45秒前
自信醉香完成签到,获得积分10
45秒前
shery完成签到,获得积分10
1分钟前
孝顺的丹烟完成签到,获得积分10
1分钟前
俊逸博超完成签到,获得积分10
1分钟前
152455的应助被灯影采纳,获得10
1分钟前
1分钟前
务实的香薇完成签到,获得积分10
1分钟前
yuan完成签到,获得积分10
1分钟前
打打的应助被欣喜从梦采纳,获得10
1分钟前
111发布了新的文献求助10
1分钟前
研友_nxw2xL完成签到,获得积分0
1分钟前
wanci的应助被科研通管家采纳,获得10
1分钟前
在水一方的应助被欣喜从梦采纳,获得30
1分钟前
他化自在天完成签到,获得积分10
2分钟前
健壮的从寒完成签到,获得积分10
2分钟前
111发布了新的文献求助10
2分钟前
执着忆寒完成签到,获得积分10
2分钟前
2分钟前
欣喜从梦发布了新的文献求助10
2分钟前
欣喜从梦发布了新的文献求助10
2分钟前
欣喜从梦发布了新的文献求助30
2分钟前
欣喜从梦发布了新的文献求助10
2分钟前
2分钟前
欣喜从梦发布了新的文献求助10
2分钟前
欣喜从梦发布了新的文献求助30
2分钟前
欣喜从梦发布了新的文献求助30
2分钟前
欣喜从梦发布了新的文献求助30
2分钟前
欣喜从梦发布了新的文献求助10
2分钟前
欣喜从梦发布了新的文献求助30
2分钟前
欣喜从梦发布了新的文献求助10
2分钟前
欣喜从梦发布了新的文献求助30
2分钟前
欣喜从梦发布了新的文献求助10
2分钟前
欣喜从梦发布了新的文献求助10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Reagents for Organic Synthesis, 14 Volume Set, 2nd Edition(本书共14册,本求助8volume-14volume共7册,独立harcover版本,非网络版本e-EROS 版,不能网络版转化PDF或提取PDF) 2000
Aspects of Post-SPE Phonology 2000
Nanocomposite Removal of Pesticides from Wastewater 1500
Practical Manual of Forensic Psychophysiology: Methodology, Execution, and Fields of Application 800
Holistic Discourse Analysis, Second Edition by Robert E. Longacre 666
Practical Nonconvex Nonsmooth Optimization 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 物理 生物化学 化学工程 内科学 复合材料 催化作用 心理学 人工智能 细胞生物学 光电子学 无机化学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 7923821
求助须知:如何正确求助?哪些是违规求助? 9419285
关于积分的说明 20934104
捐赠科研通 7519026
什么是DOI,文献DOI怎么找? 3364839
关于科研通互助平台的介绍 2501944
邀请新用户注册赠送积分活动 2396057