A dynamic linearized wall model for turbulent flow simulation: Towards grid convergence in wall-modeled simulations

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2024-11-06 DOI:10.1016/j.jcp.2024.113555
Marc Terracol, Lucas Manueco
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Abstract

This paper addresses the common issue of (no-)grid convergence in wall-modeled numerical simulations and proposes a dynamic linearization technique applied to the Spalart-Allmaras wall model to achieve a proper behavior on fine grids and low-friction areas. A theoretical analysis of the numerical error committed on the shear stress balance close to the walls is performed. It shows that the error is due to the inappropriate imposition of too steep wall-normal velocity gradients that cannot be properly accounted for on the typical grids used for wall-modeled simulations. Based on this error quantification, a dedicated wall model linearization technique is proposed, following the approach developed by Tamaki, Harada and Imamura in 2017. In the proposed modified linearization method, the linearization distance is modified and adjusted dynamically. This is done according to the theoretical shear stress error estimate, in order to keep the numerical error below a user-defined threshold. The method is applied to well-referenced test cases of increasing complexity from the Turbulence Modeling Resource. Overall, the proposed wall model clearly exhibits appropriate grid convergence properties and is also able to predict accurately non-equilibrium boundary layers and flow separation using proper grid refinement.
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用于湍流模拟的动态线性化壁面模型:在壁面模型模拟中实现网格收敛
本文针对墙体模型数值模拟中常见的(无)网格收敛问题,提出了一种应用于 Spalart-Allmaras 墙体模型的动态线性化技术,以实现在细网格和低摩擦区域的适当行为。对靠近墙壁的剪应力平衡所产生的数值误差进行了理论分析。分析表明,产生误差的原因是不适当地施加了过陡的壁面法向速度梯度,而在用于壁面模型模拟的典型网格中,这种速度梯度无法得到适当的考虑。基于这一误差量化,按照 Tamaki、Harada 和 Imamura 于 2017 年开发的方法,提出了一种专用的壁面模型线性化技术。在所提出的修正线性化方法中,线性化距离是动态修正和调整的。这是根据理论剪应力误差估计值进行的,目的是将数值误差保持在用户定义的阈值以下。该方法适用于湍流建模资源中复杂程度不断增加的参考测试案例。总体而言,所提出的壁面模型明显表现出适当的网格收敛特性,并且能够利用适当的网格细化准确预测非平衡边界层和流动分离。
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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