Zonal and adaptive mesh refinement for RANS-based transition models in FUN3D

IF 3 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Fluids Pub Date : 2025-05-15 Epub Date: 2025-03-24 DOI:10.1016/j.compfluid.2025.106607
Nathaniel Hildebrand , Meelan M. Choudhari , Preethi V. Mysore , Balaji S. Venkatachari , Pedro Paredes
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Abstract

We determine how the grid resolution and topology influence the accuracy and convergence of RANS-based transition model results by analyzing the NLF-0416 and NLR-7301 airfoils at subsonic and transonic Mach numbers, respectively. Natural and separation-induced transition scenarios are analyzed using the Langtry-Menter γ-Reθt model. Multiple grid refinement techniques are investigated. First, we determine the relative effectiveness of zonal streamwise refinement near transition to turbulence for structured grids as an alternative to costly global uniform refinement. We also complement this zonal technique by globally varying the wall-normal resolution keeping the streamwise resolution fixed. The zonal streamwise refinement can accurately model separation-induced transition, but significant wall-normal resolution is needed to model natural transition that occurs on airfoils. A series of unstructured prismatic grids that have similar node counts and viscous wall spacings as the structured hexahedral grids result in solutions that are only about 1% different in terms of the lift and drag coefficients at infinite resolution according to Richardson extrapolation. We employ Mach-Hessian-based unstructured grid adaptation to natural and separation-induced transition on the NLF-0416 airfoil, which leads to both the lift and drag coefficients plateauing on coarse grids, but the converged transition locations can be inaccurate due to poor near-wall resolution. Adjoint-based grid adaptation is explored briefly, and for imposed transition with the Spalart–Allmaras model, it yields accurate solutions even for coarse grid resolutions.
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基于ranss的转换模型在FUN3D中的分区和自适应网格细化
通过对NLF-0416和NLR-7301翼型在亚音速和跨音速马赫数下的分析,我们确定了网格分辨率和拓扑结构如何影响基于ranss的过渡模型结果的准确性和收敛性。使用Langtry-Menter γ-Reθt模型分析了自然和分离引起的过渡情景。研究了多种网格细化技术。首先,我们确定了结构网格在过渡到湍流附近的纬向流向精化作为昂贵的全局均匀精化的替代方案的相对有效性。我们还通过全局改变墙法向分辨率来补充这种分区技术,以保持流向分辨率的固定。纬向流方向的精细化可以准确地模拟分离引起的过渡,但要模拟发生在翼型上的自然过渡,需要显著的壁法向分辨率。根据Richardson外推法,一系列非结构化棱柱网格具有与结构化六面体网格相似的节点数和粘性壁面间距,在无限分辨率下,解决方案的升力和阻力系数仅相差1%左右。我们在NLF-0416翼型上采用基于mach - hessin的非结构化网格适应自然和分离诱导的过渡,这导致升力和阻力系数在粗网格上趋于平稳,但由于近壁分辨率差,聚合过渡位置可能不准确。对基于伴随的网格自适应进行了简要探讨,对于与Spalart-Allmaras模型的强制过渡,即使对于粗网格分辨率,它也能产生准确的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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