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arXiv 1902.03313math.NAcs.NA

通过新的增广拉格朗日公式为斯托克斯方程设计近优且压力鲁棒的离散化方法

Quasi-optimal and pressure robust discretizations of the Stokes equations by new augmented Lagrangian formulations

TU Dortmund Fakultät für Mathematik(多特蒙德工业大学数学系)

Christian Kreuzer, Pietro Zanotti

AI总结:

本文基于斯托克斯方程的不同符合和非符合的inf-sup稳定有限元空间,设计了近优且压力鲁棒的离散化方法,无需使用符合和散度自由的配对。

摘要:

我们利用各种符合和非符合的inf-sup稳定有限元空间对静止斯托克斯方程的解进行近似。基于每种配对,我们设计了一种离散化方法,该方法在意义上是近优且压力鲁棒的,即速度的H¹误差与分析速度的最佳H¹误差成比例。这表明,这种性质可以在不使用符合和散度自由配对的情况下实现。我们还界定了压力L²误差,仅以分析速度和分析压力的最佳逼近误差为函数。我们的构造可以总结如下。首先,一个线性算子作用于离散速度测试函数,在加载泛函应用之前,并将离散核映射到分析核。其次,为了保证一致性,我们采用了一种新的增广拉格朗日公式,受间断有限元方法的启发。

英文摘要:

We approximate the solution of the stationary Stokes equations with various conforming and nonconforming inf-sup stable pairs of finite element spaces on simplicial meshes. Based on each pair, we design a discretization that is quasi-optimal and pressure robust, in the sense that the velocity $H^1$-error is proportional to the best $H^1$-error to the analytical velocity. This shows that such a property can be achieved without using conforming and divergence-free pairs. We bound also the pressure $L^2$-error, only in terms of the best approximation errors to the analytical velocity and the analytical pressure. Our construction can be summarized as follows. First, a linear operator acts on discrete velocity test functions, before the application of the load functional, and maps the discrete kernel into the analytical one. Second, in order to enforce consistency, we employ a new augmented Lagrangian formulation, inspired by Discontinuous Galerkin methods.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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