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arXiv 1710.08082math.NAcs.NA
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一种用于对流-扩散方程的保守通量优化有限元方法

A Conservative Flux Optimization Finite Element Method for Convection-Diffusion Equations

Sun Yat-sen University(中山大学);National Science Foundation(美国国家科学基金会)

Yujie Liu, Junping Wang, Qingsong Zou

AI总结:

本文提出了一种新的有限元方法,通过增强连续有限元空间以加入通量空间,实现局部守恒的通量近似。该方法基于约束通量优化,保证局部质量守恒并最小化通量误差,具有最优收敛阶和在多孔介质两相流中的高效表现。

摘要:

本文提出了一种新的有限元方法用于对流-扩散方程,通过增强连续有限元空间以加入通量空间,实现局部守恒的通量近似。数值方案基于约束通量优化方法,其中约束由局部质量守恒方程给出,通量误差在指定拓扑/度量下最小化。该新方案为原始变量和通量变量提供数值近似。证明了原始变量和通量变量的数值近似在某些离散Sobolev范数中具有最优收敛阶。进行了数值实验以验证收敛理论。此外,该新方案被应用于高度异质多孔介质中简化两相流问题的计算模拟。数值结果展示了该方法在科学计算中的卓越性能。

英文摘要:

This article presents a new finite element method for convection-diffusion equations by enhancing the continuous finite element space with a flux space for flux approximations that preserve the important mass conservation locally on each element. The numerical scheme is based on a constrained flux optimization approach where the constraint was given by local mass conservation equations and the flux error is minimized in a prescribed topology/metric. This new scheme provides numerical approximations for both the primal and the flux variables. It is shown that the numerical approximations for the primal and the flux variables are convergent with optimal order in some discrete Sobolev norms. Numerical experiments are conducted to confirm the convergence theory. Furthermore, the new scheme was employed in the computational simulation of a simplified two-phase flow problem in highly heterogeneous porous media. The numerical results illustrate an excellent performance of the method in scientific computing.

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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