使用欧拉-拉格朗日混合求解器求解行进和旋转圆柱体上的流体

IF 2.5 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Fluids Pub Date : 2024-06-08 DOI:10.1016/j.compfluid.2024.106327
R. Pasolari, J. Pan, C.J. Ferreira, A. van Zuijlen
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引用次数: 0

摘要

欧拉-拉格朗日混合求解器在外部空气动力学领域受到越来越多的关注,特别是在处理强烈的体-涡相互作用时。这种方法有效地结合了欧拉部分和拉格朗日部分的优势,前者能准确地解决边界层现象,后者能有效地演化下游的尾流。本研究以我们团队之前的工作为基础,增强了二维混合欧拉-拉格朗日求解器的功能。我们的目标是将最初针对静态情况设计的求解器升级到现在也能模拟涉及运动物体的情况。为了确保新求解器的可靠性和适用性,必须验证其在复杂情况下的性能。在这里,求解器在低雷诺数下的两种不同转速下的移动圆柱体和旋转圆柱体的情况下进行了验证。在欧拉求解器领域,例如 OpenFOAM(用于本混合方法的欧拉部分),传统技术包括使用变形网格、超集网格和任意网格接口(AMI)来模拟物体运动。建议的方法包括将欧拉网格扩展到离实体边界不远的地方,并将其完全作为实体移动。然后,拉格朗日求解器负责计算更新的边界条件,从而完成混合求解器的功能。这种方法与超集网格技术非常相似。不过,与在静态网格上移动欧拉网格的传统方法不同,我们的方法是在拉格朗日网格上移动欧拉网格。我们将混合求解器的结果与纯欧拉求解器(特别是 OpenFOAM)的结果进行了比较。比较结果表明,我们的求解器可以高精度复制 OpenFOAM 的结果。本研究中突出强调的另一个有趣的问题是,在混合求解器中,特别是在处理动态网格模拟时,包含拉格朗日粒子再分布且不使用涡流面板等表面元素的体力会出现高频振荡。当欧拉网格在拉格朗日粒子网格上移动时,粒子相对于欧拉网格的位置会不断变化。这导致粒子在固体体附近不断移动,而在固体体附近观察到的涡度最大。在某一时间步靠近固体边界的粒子可能在下一时间步发现自己位于边界内,从而被移除。这种模式在模拟过程中不断变化,导致欧拉求解器的边界条件波动,并表现为作用在物体上的力的振荡。研究表明,可以通过提高拉格朗日求解器的空间分辨率或使拉格朗日网格的运动与欧拉网格的运动同步来缓解这一问题。研究结果使求解器值得信赖,并为要求更高的外部空气动力学模拟铺平了道路。
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Flow over traveling and rotating cylinders using a hybrid Eulerian–Lagrangian solver

Hybrid Eulerian–Lagrangian solvers have gained increasing attention in the field of external aerodynamics, particularly when dealing with strong body–vortex interactions. This approach effectively combines the strengths of the Eulerian component, which accurately resolves boundary layer phenomena, and the Lagrangian component, which efficiently evolves the wake downstream. This study builds on our team’s previous work by enhancing the capabilities of a two-dimensional hybrid Eulerian–Lagrangian solver. We aim to upgrade our solver which was initially designed for static cases, to now also simulate cases involving moving objects. To ensure the reliability and applicability of a new solver, it is essential to validate its performance in complex cases. Here, the solver is validated across the case of a traveling cylinder and the case of a rotating cylinder in two different rotational speeds at low Reynolds numbers. In the realm of Eulerian solvers, such as OpenFOAM (utilized for the Eulerian component of this hybrid approach), traditional techniques include the use of morphing meshes, overset meshes, and Arbitrary Mesh Interfaces (AMI) to model body motion. The proposed methodology involves extending the Eulerian mesh up to a short distance from the solid boundary and moving it entirely as a solid entity. Then the Lagrangian solver is responsible for calculating the updated boundary conditions, thereby completing the hybrid solver’s functionality. This approach is very similar to the overset mesh technique. However, unlike the traditional method where an Eulerian mesh moves on top of a static one, our method involves the motion of an Eulerian mesh over a Lagrangian grid. We compared the results from our hybrid solver with those from a purely Eulerian solver, specifically OpenFOAM. The comparison demonstrates that our solver can replicate OpenFOAM’s results with high accuracy. Another interesting point highlighted in this study is the presence of high-frequency oscillations in the body forces in hybrid solvers that incorporate the redistribution of Lagrangian particles and do not utilize surface elements such as vortex panels, specifically when dealing with dynamic mesh simulations. When the Eulerian mesh travels on top of the Lagrangian grid of particles, the positions of the particles with respect to the Eulerian mesh continuously change. This results in a constant shift of particles near the solid body, where the highest vorticity is observed. Particles that are close to the solid boundary at one time step may find themselves inside the boundary at the next time step, leading to their removal. This pattern continuously changes during the simulation, causing fluctuations in the boundary conditions of the Eulerian solver and manifesting as oscillations in the forces acting on the body. It is shown that this issue can be alleviated either by increasing the spatial resolution of the Lagrangian solver or by synchronizing the movement of the Lagrangian grid with the motion of the Eulerian mesh. The results of the study make the solver trustworthy and pave the way for more demanding external aerodynamic simulations.

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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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