A challenging test case for large eddy simulation: high Reynolds number circular cylinder flow

斯特劳哈尔数 雷诺数 大涡模拟 湍流 唤醒 机械 物理 阻力 阻力系数 流量(数学) 旋涡脱落 统计物理学
作者
M. Breuer
出处
期刊:International Journal of Heat and Fluid Flow [Elsevier]
卷期号:21 (5): 648-654 被引量:350
标识
DOI:10.1016/s0142-727x(00)00056-4
摘要

A thorough numerical investigation of high Reynolds number (Re=140,000) circular cylinder flow was performed based on large eddy simulation (LES). The objective was to evaluate the applicability of LES for practically relevant high-Re flows and to investigate the influence of subgrid scale modeling and grid resolution on the quality of the predicted results. Because the turbulent von Kármán vortex street past circular cylinders involves most of the characteristic features of technical applications, it is an ideal test case for this purpose. Based on a parallelized finite-volume Navier–Stokes solver, computations were carried out on a series of grids applying both the Smagorinsky and the dynamic subgrid scale model. The simulations yielded information on the time-averaged flow field, the resolved Reynolds stresses and integral parameters such as drag coefficient, recirculation length and Strouhal number. The results were analyzed in detail and compared with experimental data. In general, the LES results agreed fairly well with the experimental data, especially in the near wake. Owing to the coarse resolution in the far wake, larger deviations were observed here. As expected, the importance of the subgrid scale model significantly increased for the high-Re case in comparison with a low-Re case predicted earlier. A critical issue for LES is grid refinement which did not automatically lead to an improved agreement between the predicted results and the experimental measurements. Possible explanations are offered in the paper.
最长约 10秒,即可获得该文献文件

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
刚刚
橘子姐姐发布了新的文献求助10
1秒前
yanyan完成签到,获得积分10
2秒前
TT完成签到,获得积分10
3秒前
3秒前
了然完成签到 ,获得积分10
4秒前
jxp完成签到,获得积分10
4秒前
jojo完成签到 ,获得积分10
5秒前
5秒前
勤劳落雁完成签到 ,获得积分10
5秒前
8秒前
爆米花应助科研通管家采纳,获得30
8秒前
顾矜应助科研通管家采纳,获得10
8秒前
8秒前
9秒前
田様应助科研通管家采纳,获得10
9秒前
科目三应助科研通管家采纳,获得10
9秒前
李爱国应助科研通管家采纳,获得10
9秒前
打打应助科研通管家采纳,获得10
9秒前
RC_Wang应助科研通管家采纳,获得10
9秒前
科研通AI5应助科研通管家采纳,获得10
9秒前
9秒前
星辰大海应助科研通管家采纳,获得10
9秒前
CipherSage应助科研通管家采纳,获得10
9秒前
赘婿应助Quzhengkai采纳,获得10
9秒前
sutharsons应助科研通管家采纳,获得30
9秒前
李爱国应助科研通管家采纳,获得30
10秒前
10秒前
10秒前
调研昵称发布了新的文献求助10
10秒前
CodeCraft应助清新的苑博采纳,获得10
11秒前
所所应助Chen采纳,获得10
12秒前
14秒前
14秒前
goldenfleece发布了新的文献求助10
14秒前
怕黑的钥匙完成签到 ,获得积分10
14秒前
zhangsf88完成签到,获得积分10
14秒前
科研通AI5应助科研小能手采纳,获得10
14秒前
乐乐应助热情芷荷采纳,获得10
15秒前
想发sci完成签到,获得积分10
15秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527961
求助须知:如何正确求助?哪些是违规求助? 3108159
关于积分的说明 9287825
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716926
科研通“疑难数据库(出版商)”最低求助积分说明 709808