主动流体模型的无条件稳定全离散有限元数值方案

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal for Numerical Methods in Fluids Pub Date : 2024-01-18 DOI:10.1002/fld.5260
Bo Wang, Yuxing Zhang, Guang-an Zou
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引用次数: 0

摘要

本文针对主动流体模型提出了一种线性、解耦、无条件稳定的全离散有限元方案,该方案源自有效非平衡自由能的梯度流方法。所开发的方案通过对非线性项的隐式-显式处理和二阶 Gauge-Uzawa 方法来实现速度和压力计算的解耦。我们严格证明了所提方案的唯一可解性和无条件稳定性。为了验证所提方案的准确性、稳定性和效率,我们进行了多次数值测试。我们还模拟了二维和三维情况下各种外力作用下的自组织运动,包括活动流体从无序到有序的运动方向。数值结果表明,该方案在准确捕捉和处理活动流体运动的复杂动力学特性方面具有良好的性能。
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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Unconditionally stable fully-discrete finite element numerical scheme for active fluid model

In this paper, we propose a linear, decoupled, unconditionally stable fully-discrete finite element scheme for the active fluid model, which is derived from the gradient flow approach for an effective non-equilibrium free energy. The developed scheme is employed by an implicit-explicit treatment of the nonlinear terms and a second-order Gauge–Uzawa method for the decoupling of computations for the velocity and pressure. We rigorously prove the unique solvability and unconditional stability of the proposed scheme. Several numerical tests are presented to verify the accuracy, stability, and efficiency of the proposed scheme. We also simulate the self-organized motion under the various external body forces in 2D and 3D cases, including the motion direction of active fluid from disorder to order. Numerical results show that the scheme has a good performance in accurately capturing and handling the complex dynamics of active fluid motion.

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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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