三场准牛顿斯托克斯流混合 DG 方法的先验和后验误差分析

IF 2.3 2区 数学 Q1 MATHEMATICS, APPLIED IMA Journal of Numerical Analysis Pub Date : 2024-10-03 DOI:10.1093/imanum/drae067
Lina Zhao
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引用次数: 0

摘要

本文针对三场准牛顿斯托克斯流提出并分析了一种新的混合型 DG 方法。该方法的基础是引入应力和应变张量作为进一步的未知量,并通过不可压缩性约束消除压力变量。因此,结果系统涉及三个未知数:应力、应变张量和速度。所有这三个未知数都使用不连续的分段多项式来近似,从而灵活地强制应力和应变张量的对称性。对所有变量进行了唯一可解性和全面的收敛误差分析。结果证明,所有变量都以最佳方式收敛。在后验误差估计器的指导下,自适应网格细化的计算效率很高,特别是对于涉及奇异性的问题。根据这一机制,我们推导出一种残差型后验误差估计器,这是本文的第二个主要贡献。特别是,我们将椭圆重构与亥姆霍兹分解相结合,推导出了后验误差估计器,从而避免了使用平均算子。为了验证理论结论,我们进行了一些数值实验。
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A priori and a posteriori error analysis of a mixed DG method for the three-field quasi-Newtonian Stokes flow
In this paper we propose and analyse a new mixed-type DG method for the three-field quasi-Newtonian Stokes flow. The scheme is based on the introduction of the stress and strain tensor as further unknowns as well as the elimination of the pressure variable by means of the incompressibility constraint. As such, the resulting system involves three unknowns: the stress, the strain tensor and the velocity. All these three unknowns are approximated using discontinuous piecewise polynomials, which offers flexibility for enforcing the symmetry of the stress and the strain tensor. The unique solvability and a comprehensive convergence error analysis for all the variables are performed. All the variables are proved to converge optimally. Adaptive mesh refinement guided by a posteriori error estimator is computationally efficient, especially for problems involving singularity. In line of this mechanism we derive a residual-type a posteriori error estimator, which constitutes the second main contribution of the paper. In particular, we employ the elliptic reconstruction in conjunction with the Helmholtz decomposition to derive the a posteriori error estimator, which avoids using the averaging operator. Several numerical experiments are carried out to verify the theoretical findings.
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来源期刊
IMA Journal of Numerical Analysis
IMA Journal of Numerical Analysis 数学-应用数学
CiteScore
5.30
自引率
4.80%
发文量
79
审稿时长
6-12 weeks
期刊介绍: The IMA Journal of Numerical Analysis (IMAJNA) publishes original contributions to all fields of numerical analysis; articles will be accepted which treat the theory, development or use of practical algorithms and interactions between these aspects. Occasional survey articles are also published.
期刊最新文献
Stability estimates of Nyström discretizations of Helmholtz decomposition boundary integral equation formulations for the solution of Navier scattering problems in two dimensions with Dirichlet boundary conditions Positive definite functions on a regular domain An extension of the approximate component mode synthesis method to the heterogeneous Helmholtz equation Time-dependent electromagnetic scattering from dispersive materials An exponential stochastic Runge–Kutta type method of order up to 1.5 for SPDEs of Nemytskii-type
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