孔弹性的高阶迭代解耦

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED
Robert Altmann, Abdullah Mujahid, Benjamin Unger
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引用次数: 0

摘要

针对椭圆-抛物线问题(如孔弹性)的迭代解耦,我们引入了基于反向微分公式的五阶以下时间离散化方案。其分析结合了定点迭代的已知技术和时间离散化的收敛分析。我们的主要结果表明,收敛性取决于时间步长和迭代方案收缩参数之间的相互作用。此外,这种联系被明确量化,从而可以平衡单一误差成分。几个数值实验说明并验证了理论结果,包括一个生物力学的三维例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Higher-order iterative decoupling for poroelasticity

For the iterative decoupling of elliptic–parabolic problems such as poroelasticity, we introduce time discretization schemes up to order five based on the backward differentiation formulae. Its analysis combines techniques known from fixed-point iterations with the convergence analysis of the temporal discretization. As the main result, we show that the convergence depends on the interplay between the time step size and the parameters for the contraction of the iterative scheme. Moreover, this connection is quantified explicitly, which allows for balancing the single error components. Several numerical experiments illustrate and validate the theoretical results, including a three-dimensional example from biomechanics.

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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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