一种模拟不可压缩流体在虚拟立方表面上流动的有效计算方法

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED
Junxiang Yang , Seungyoon Kang , Sangkwon Kim , Youngjin Hwang , Soobin Kwak , Seokjun Ham , Junseok Kim
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引用次数: 0

摘要

我们提出了一种有效的模拟不可压缩流体在虚拟立方表面上流动的计算算法。通过忽略重力的影响,有效地消除了重力对系统的影响。因此,动力学本质上可以表征为二维(2D),并限制在一个平面内。采用投影法和有限差分法对控制流体流动的Navier-Stokes (NS)方程进行了数值求解。在投影法中,需要求解压力场的泊松方程,该方程采用多重网格法有效求解。多重网格法是一种强大的计算方法,它通过使用分层网格结构来优化求解过程。多重网格方法可以有效和准确地计算压力值,并提高整体模拟精度和性能。通过对虚拟三次曲面上的剪切流和多涡问题的计算结果,验证了所提数值算法的有效性。这些计算结果验证了所提出方法的可靠性和效率,并因此证明了其在虚拟立方表面流体动力学计算分析领域的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient computational method for simulating incompressible fluid flows on a virtual cubic surface
We propose an efficient computational algorithm for simulating incompressible fluid flows on a virtual cubic surface. By neglecting the influence of gravitational force, we effectively eliminate its impact on the system. Therefore, the dynamics can be characterized as essentially two-dimensional (2D) and confined to a plane. A projection method and a finite difference method (FDM) are used to numerically solve the Navier–Stokes (NS) equations governing the fluid flow. In the projection method, we need to solve the Poisson equation for the pressure field, which is effectively solved using a multigrid method. The multigrid method is a powerful computational approach that optimizes the solution process by using a hierarchical grid structure. The multigrid method allows efficient and accurate calculations of pressure values and increases the overall simulation accuracy and performance. The effectiveness of the proposed numerical algorithm is demonstrated through computational results of the shear flow and multi-vortex problems on a virtual cubic surface. These computational results validate the reliability and efficiency of the proposed approach, and therefore demonstrate its potential to contribute significantly to the field of computational analysis in fluid dynamics on a virtual cubic surface.
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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