针对不可压缩流问题的子网格-解析-梯度-密度稳定方法的数值分析与计算

IF 1.3 4区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Discrete Dynamics in Nature and Society Pub Date : 2024-03-13 DOI:10.1155/2024/5580918
Yun-Bo Yang, Bin-Chao Huang
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引用次数: 0

摘要

本文提出了一种不可压缩流动问题的子网格-稀疏-级分方法,它是子网格稳定方法和最近提出的稀疏-级分方法的结合。该方法保持了这两种方法的优点:(i) 对于求解对流占主导地位的不可压缩流动问题具有鲁棒性,尤其是当粘度太小时。因此,该方法在求解不可压缩流动问题时非常高效。此外,基于时间离散的 Crank-Nicolson 外推方案和空间离散的混合有限元,我们推导出了该方法的无条件稳定性和最佳收敛性。最后,我们提出了数值实验来验证理论预测,并在不可压缩流的测试问题上证明了该方法的效率。
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Numerical Analysis and Computation of a Subgrid-Sparse-Grad-Div Stabilization Method for Incompressible Flow Problems
In this article, a subgrid-sparse-grad-div method for incompressible flow problem was proposed, which is a combination of the subgrid stabilization method and the recently proposed sparse-grad-div method. The method maintains the advantage of both methods: (i) It is robust for solving incompressible flow problem with dominance of the convection, especially when the viscosity is too small. (ii) It can keep mass conservation. Therefore, the method is very efficient for solving incompressible flow. Moreover, based on the Crank–Nicolson extrapolated scheme for temporal discretization, and mixed finite element in spatial discretization, we derive the unconditional stability and optimal convergence of the method. Finally, numerical experiments are proposed to validate the theoretical predictions and demonstrate the efficiency of the method on a test problem for incompressible flow.
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来源期刊
Discrete Dynamics in Nature and Society
Discrete Dynamics in Nature and Society 综合性期刊-数学跨学科应用
CiteScore
3.00
自引率
0.00%
发文量
598
审稿时长
3 months
期刊介绍: The main objective of Discrete Dynamics in Nature and Society is to foster links between basic and applied research relating to discrete dynamics of complex systems encountered in the natural and social sciences. The journal intends to stimulate publications directed to the analyses of computer generated solutions and chaotic in particular, correctness of numerical procedures, chaos synchronization and control, discrete optimization methods among other related topics. The journal provides a channel of communication between scientists and practitioners working in the field of complex systems analysis and will stimulate the development and use of discrete dynamical approach.
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