在斯托克斯问题的鲍威尔-萨宾分裂上计算速度的 H^1$ 符合电磁基

IF 1.3 4区 数学 Q1 MATHEMATICS International Journal of Numerical Analysis and Modeling Pub Date : 2024-04-01 DOI:10.4208/ijnam2024-1007
Jeffrey M. Connors, Michael Gaiewski
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引用次数: 0

摘要

构建了一个螺线管基础,用于使用某种有限元方法计算斯托克斯问题的速度。该方法是顺应性的,在三角剖分的 Powell-Sabin 分裂上具有片断线性速度和片断恒定压力。通过在螺线管速度空间中构造一个内插算子,可以支持非均相的 Dirichletconditions。螺线管基础减小了问题的大小,并从速度线性系统中消除了压力变量。如果需要计算压力,还可以构建一个压力空间基,用于在速度之后计算压力。所有基函数都有局部支持,并导致稀疏线性系统。通过严格的分析确认了基础构造。速度和压力系统矩阵都是对称的正定矩阵,可用于求解相应的线性系统。与通常的鞍点公式相比,计算效率显著提高。
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An $H^1$-Conforming Solenoidal Basis for Velocity Computation on Powell-Sabin Splits for the Stokes Problem
A solenoidal basis is constructed to compute velocities using a certain finite element method for the Stokes problem. The method is conforming, with piecewise linear velocity and piecewise constant pressure on the Powell-Sabin split of a triangulation. Inhomogeneous Dirichlet conditions are supported by constructing an interpolating operator into the solenoidal velocity space. The solenoidal basis reduces the problem size and eliminates the pressure variable from the linear system for the velocity. A basis of the pressure space is also constructed that can be used to compute the pressure after the velocity, if it is desired to compute the pressure. All basis functions have local support and lead to sparse linear systems. The basis construction is confirmed through rigorous analysis. Velocity and pressure system matrices are both symmetric, positive definite, which can be exploited to solve their corresponding linear systems. Significant efficiency gains over the usual saddle-point formulation are demonstrated computationally.
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来源期刊
CiteScore
2.10
自引率
9.10%
发文量
1
审稿时长
6-12 weeks
期刊介绍: The journal is directed to the broad spectrum of researchers in numerical methods throughout science and engineering, and publishes high quality original papers in all fields of numerical analysis and mathematical modeling including: numerical differential equations, scientific computing, linear algebra, control, optimization, and related areas of engineering and scientific applications. The journal welcomes the contribution of original developments of numerical methods, mathematical analysis leading to better understanding of the existing algorithms, and applications of numerical techniques to real engineering and scientific problems. Rigorous studies of the convergence of algorithms, their accuracy and stability, and their computational complexity are appropriate for this journal. Papers addressing new numerical algorithms and techniques, demonstrating the potential of some novel ideas, describing experiments involving new models and simulations for practical problems are also suitable topics for the journal. The journal welcomes survey articles which summarize state of art knowledge and present open problems of particular numerical techniques and mathematical models.
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