A Reynolds-averaged Navier–Stokes closure for steady-state simulations of Rayleigh–Bénard convection

Author:

Joo Da-Sol1ORCID,You Donghyun1ORCID

Affiliation:

1. Department of Mechanical Engineering, Pohang University of Science and Technology , Pohang, Gyeongbuk 37673, South Korea

Abstract

A new turbulence model has been developed for a Reynolds-averaged Navier–Stokes (RANS) simulations of buoyancy-driven flows. This study proposes a modification to the buoyancy-related term in the conventional k–ε RANS model's ε equation. Typical two-equation RANS models provide accurate predictions in homogeneous shear flow, decaying turbulence, and log-law regions, but have uncertain effectiveness for buoyancy-driven flows, particularly concerning the buoyancy-related term in the ε equation. They have produced significant errors in natural convection scenarios where the buoyancy-related term dominantly affects the modeling results, such as in the Rayleigh–Bénard (RB) convection. Conventional models are known to inaccurately predict RB convection when treated as a steady-state problem with zero mean velocity, considering only the gravity-directed coordinate as the independent variable. The analysis reveals that the conventional RANS model, along with modeling terms for buoyancy effects, provides not only inaccurate but also divergent turbulent heat fluxes in RB convection at high Rayleigh numbers. The proposed model establishes mathematical conditions that enable steady-state RANS simulations to converge to consistent scaling relations for the Nusselt number across a wide range of Rayleigh and Prandtl numbers in RB convection. This approach algebraically modifies a single term in the ε equation, so that the term vanishes in the absence of buoyancy, so the modification integrates seamlessly with the conventional k–ε RANS model.

Funder

National Research Foundation of Korea

Publisher

AIP Publishing

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