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arXiv 2107.04060math.NAcs.NA
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用于孔隙弹性简化- quadrature离散化的整体多重网格

Monolithic multigrid for a reduced-quadrature discretization of poroelasticity

James H. Adler, Yunhui He, Xiaozhe Hu, Scott MacLachlan, Peter Ohm

摘要:

近年来,孔隙弹性模型的先进有限元离散和预处理方法引起了人们的极大关注。孔隙弹性方程在这两个领域提供了重大的挑战,由于系统中的未知数之间的潜在强耦合,鞍点结构,并需要考虑宽范围的参数值,包括限制行为,如不可压缩的弹性。本文的动机是试图为[48]中开发的离散化开发单片多重网格预处理器;我们在这里展示了为什么这是一项艰巨的任务,因此,我们通过使用简化的正交近似来修改[48]中的离散化,产生一个更“求解器友好”的离散化。局部傅里叶分析是用来优化参数的单片多重网格方法,允许公平的性能和成本的基础上Vanka和Braess-Sarazin松弛的方法之间的比较。数值结果验证了LFA的预测,并证明了算法的效率。最后,与现有的块分解预条件进行了比较。

英文摘要:

Advanced finite-element discretizations and preconditioners for models of poroelasticity have attracted significant attention in recent years. The equations of poroelasticity offer significant challenges in both areas, due to the potentially strong coupling between unknowns in the system, saddle-point structure, and the need to account for wide ranges of parameter values, including limiting behavior such as incompressible elasticity. This paper was motivated by an attempt to develop monolithic multigrid preconditioners for the discretization developed in [48]; we show here why this is a difficult task and, as a result, we modify the discretization in [48] through the use of a reduced quadrature approximation, yielding a more "solver-friendly" discretization. Local Fourier analysis is used to optimize parameters in the resulting monolithic multigrid method, allowing a fair comparison between the performance and costs of methods based on Vanka and Braess-Sarazin relaxation. Numerical results are presented to validate the LFA predictions and demonstrate efficiency of the algorithms. Finally, a comparison to existing block-factorization preconditioners is also given.

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