arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1803.06339math.NAcs.NA
收藏

时间依赖的斯托克斯界面问题:适定性与空间-时间有限元离散化

A time dependent Stokes interface problem: well-posedness and space-time finite element discretization

Institut für Geometrie und Praktische Mathematik, RWTH-Aachen University(几何与应用数学研究所,亚琛工业大学)

Igor Voulis, Arnold Reusken

AI总结:

本文研究了一个受两相流体动力学标准尖界面模型启发的时间依赖斯托克斯问题,探讨了其适定性及空间-时间有限元离散化方法。

摘要:

本文研究了一个受标准尖界面模型启发的时间依赖斯托克斯问题,该问题具有不连续的密度和粘度系数,以及在演化的界面处不连续的压力解。这种简化两相斯托克斯方程被视为开发和分析两相流问题有限元离散化方法的良好模型问题。考虑到常用于两相流模拟的非适应有限元方法,我们特别关注该斯托克斯界面问题在欧几里得空间中的适定变分公式。此类尚未在文献中出现的适定弱公式是本文的主要成果。考虑了不同变体,包括使用合适空间的散度自由函数、其离散时间版本,以及通过压力拉格朗日乘子处理解空间中散度自由约束的变体。涉及压力变量的离散时间变分公式是空间-时间有限元离散化方法的自然起点。介绍了一种此类方法,并展示了使用该方法的数值实验结果。

英文摘要:

In this paper a time dependent Stokes problem that is motivated by a standard sharp interface model for the fluid dynamics of two-phase flows is studied. This Stokes interface problem has discontinuous density and viscosity coefficients and a pressure solution that is discontinuous across an evolving interface. This strongly simplified two-phase Stokes equation is considered to be a good model problem for the development and analysis of finite element discretization methods for two-phase flow problems. In view of the unfitted finite element methods that are often used for two-phase flow simulations, we are particularly interested in a well-posed variational formulation of this Stokes interface problem in a Euclidean setting. Such well-posed weak formulations, which are not known in the literature, are the main results of this paper. Different variants are considered, namely one with suitable spaces of divergence free functions, a discrete-in-time version of it, and variants in which the divergence free constraint in the solution space is treated by a pressure Lagrange multiplier. The discrete-in-time variational formulation involving the pressure variable for the divergence free constraint is a natural starting point for a space-time finite element discretization. Such a method is introduced and results of numerical experiments with this method are presented.

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。

↑