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arXiv 2309.02437math.NAcs.NA
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弯曲网格上带Ventcel边界条件的扩散方程的先验误差估计

A priori error estimates of a diffusion equation with Ventcel boundary conditions on curved meshes

Fabien Caubet, Joyce Ghantous, Charles Pierre

AI总结:

本文针对带Ventcel边界条件的扩散方程,构造高阶弯曲网格并定义适配的提升算子,获得分别依赖网格阶数和有限元次数的先验误差估计,数值实验验证了改进的收敛率。

摘要:

本文考虑一个椭圆问题,称为Ventcel问题,涉及定义在域边界上的二阶项(Laplace-Beltrami算子)。研究了Ventcel问题的变分形式,进而得到有限元离散化。重点在于为物理域的离散化构造高阶弯曲网格,以及定义提升算子,该算子旨在将定义在网格域上的函数转换为定义在物理域上的函数。此提升算子的定义方式使其在边界上相对于迹算子满足适配性质。Ventcel问题的近似在几何误差和有限元逼近误差两方面进行了研究。误差估计分别关于网格阶数r≥1和有限元次数k≥1获得,而此类估计迄今为止通常仅在等参情形下考虑,涉及单一参数k=r。我们在二维和三维中进行的数值实验验证了所获得的关于依赖于两个参数k和r的先验误差估计的结果和证明。数值比较在先前提升定义和本文定义的提升之间进行,表明后者在误差收敛率上有所改进。

英文摘要:

In this work is considered an elliptic problem, referred to as the Ventcel problem, involvinga second order term on the domain boundary (the Laplace-Beltrami operator). A variationalformulation of the Ventcel problem is studied, leading to a finite element discretization. Thefocus is on the construction of high order curved meshes for the discretization of the physicaldomain and on the definition of the lift operator, which is aimed to transform a functiondefined on the mesh domain into a function defined on the physical one. This lift is definedin a way as to satisfy adapted properties on the boundary, relatively to the trace operator.The Ventcel problem approximation is investigated both in terms of geometrical error and offinite element approximation error. Error estimates are obtained both in terms of the meshorder r $\ge$ 1 and to the finite element degree k $\ge$ 1, whereas such estimates usually have beenconsidered in the isoparametric case so far, involving a single parameter k = r. The numericalexperiments we led, both in dimension 2 and 3, allow us to validate the results obtained andproved on the a priori error estimates depending on the two parameters k and r. A numericalcomparison is made between the errors using the former lift definition and the lift defined inthis work establishing an improvement in the convergence rate of the error in the latter case.

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