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首页> 外文期刊>SIAM Journal on Numerical Analysis >THE COMPOSITE MINI ELEMENT—COARSE MESHCOMPUTATION OF STOKES FLOWS ON COMPLICATEDDOMAINS
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THE COMPOSITE MINI ELEMENT—COARSE MESHCOMPUTATION OF STOKES FLOWS ON COMPLICATEDDOMAINS

机译:复合最小元素-复杂域上斯托克斯流的粗网格计算

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摘要

We introduce a new finite element method, the composite mini element, for the mixeddiscretization of the Stokes equations on two- and three-dimensional domains that may contain ahuge number of geometric details. In standard finite element discretizations of the Stokes problem,such as the classical mini element, the approximation quality is determined by the maximal meshsize of the underlying triangulation, while the computational effort is determined by its number ofelements. If the physical domain is very complicated, then the minimal number of simplices, which arenecessary to resolve the domain, can be very large and distributed in a nonoptimal way with respectto the approximation quality. In contrast to that, the minimal dimension of the composite minielement space is independent of the number of geometric details. Instead of a geometric resolutionof the domain and the boundary condition by the finite element mesh the shape of the finite elementfunctions is adapted to the geometric details. This approach allows low-dimensional approximationseven for problems with complicated geometric details such as holes or rough boundaries. We proveits linear (optimal order) approximability and its inf-sup stability. Further, we will be able to controlthe nonconformity in the space without increasing the space dimension in such a way that the a ,ΩuCME||1 priori error estimate ||u-IIP-PCME||0,Ω ≤ h||f||0,Ωholds. Thereby, in contrast to theclassical methods, the choice of the mesh size parameter h is not constrained by the size of geometricdetails. In addition, it turns out that the method can be viewed as a coarse-scale generalization ofthe classical mini element approach; i.e., it reduces the computational effort, while the approximationquality depends on the (coarse) mesh size in the usual way.
机译:我们引入了一种新的有限元方法,即复合迷你元素,用于二维和三维域上Stokes方程的混合离散化,其中可能包含大量几何细节。在Stokes问题的标准有限元离散化中,例如经典的迷你元素,近似质量由底层三角剖分的最大网格大小确定,而计算量则由其元素数量确定。如果物理域非常复杂,则解析该域所需的最少数量的单纯形可能会很大,并且相对于近似质量以非最佳方式分布。与此相反,复合微型元素空间的最小尺寸与几何细节的数量无关。代替有限元网格的域和边界条件的几何分辨率,有限元函数的形状适合于几何细节。即使对于具有复杂几何细节(例如孔或粗糙边界)的问题,此方法也可以实现低维近似。我们证明了它的线性(最佳阶)逼近性和它的调幅稳定性。此外,我们将能够在不增加空间尺寸的情况下控制空间中的不整合性,使得a,ΩuCME|| 1先验误差估计|| u-IIP-PCME || 0,Ω≤h || f | | 0,保持。因此,与传统方法相反,网格尺寸参数h的选择不受几何细节尺寸的限制。另外,事实证明,该方法可以看作是经典迷你元素方法的粗略概括。即,它减少了计算工作量,而近似质量以通常的方式取决于(粗)网格尺寸。

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