Direct Numerical Simulation of a Fully Developed Turbulent Channel Flow With Respect to the Reynolds Number Dependence

Author:

Abe Hiroyuki1,Kawamura Hiroshi1,Matsuo Yuichi2

Affiliation:

1. Department of Mechanical Engineering, Science University of Tokyo, Noda-shi, Chiba, 278-8510, Japan

2. National Aerospace Laboratory, Chofu-shi, Tokyo, 182-8522, Japan

Abstract

Direct numerical simulation (DNS) of a fully developed turbulent channel flow for various Reynolds numbers has been carried out to investigate the Reynolds number dependence. The Reynolds number is set to be Reτ=180, 395, and 640, where Reτ is the Reynolds number based on the friction velocity and the channel half width. The computation has been executed with the use of the finite difference method. Various turbulence statistics such as turbulence intensities, vorticity fluctuations, Reynolds stresses, their budget terms, two-point correlation coefficients, and energy spectra are obtained and discussed. The present results are compared with the ones of the DNSs for the turbulent boundary layer and the plane turbulent Poiseuille flow and the experiments for the channel flow. The closure models are also tested using the present results for the dissipation rate of the Reynolds normal stresses. In addition, the instantaneous flow field is visualized in order to examine the Reynolds number dependence for the quasi-coherent structures such as the vortices and streaks.

Publisher

ASME International

Subject

Mechanical Engineering

Reference42 articles.

1. Orszag, S. A., and Patterson, G. S., 1972, “Numerical simulation of three-dimensional homogeneous isotropic turbulence,” Phys. Rev. Lett., 28, pp. 76–79.

2. Kim, J., Moin, P., and Moser, R., 1987, “Turbulence statistics in fully developed turbulent channel flow at low Reynolds number,” J. Fluid Mech., 177, pp. 133–166.

3. Kuroda, A., Kasagi, N., and Hirata, M., 1989, “A direct numerical simulation of the fully developed turbulent channel flow at a very low Reynolds number,” Int. Symp. Computational Fluid Dynamics, Nagoya, pp. 1174–1179.

4. Kasagi, N., Tomita, Y., and Kuroda, A., 1992, “Direct numerical simulation of passive scalar field in a turbulent channel flow,” ASME J. Heat Transfer, 114, pp. 598–606.

5. Kim, J., Moin, P., and Moser, R., 1990, The Diskette of Collaborative Testing of Turbulence Models, Bradshaw, P., ed., Stanford University.

同舟云学术

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