基于拉格朗日乘子的非协调嵌入式有限元方法的守恒性质。

IF 1.6 3区 数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
BIT Numerical Mathematics Pub Date : 2025-01-01 Epub Date: 2025-07-18 DOI:10.1007/s10543-025-01075-8
Maria Giuseppina Chiara Nestola, Patrick Zulian, Marco Favino, Rolf Krause
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引用次数: 0

摘要

裂缝性多孔介质中达西渗流的数值模拟依赖于混合或等维裂缝模型。前者将裂缝视为低维流形,而后者将裂缝视为与多孔基质具有相同几何维数的物体。由于采用了两种不同的非一致性网格,嵌入式策略消除了裂缝介质网格生成的固有困难。虽然连续伽辽金离散化已被证明是局部保守的,但这一性质尚未对嵌入策略进行研究。本文证明了基于对偶拉格朗日乘子并在连续伽辽金框架内离散化的嵌入策略是局部保守的。我们对裂缝性多孔介质的混合和等维模型中的守恒特性进行了数值分析。我们的结果有力地支持了嵌入策略的守恒性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conservation properties of non-conforming embedded finite-element methods based on lagrange multipliers.

Numerical simulations of Darcy flow in fractured porous media rely on hybrid- or equi-dimensional fracture models. The former considers fractures as lower-dimensional manifolds, while the latter treats them as objects of the same geometrical dimension as the porous matrix. Embedded strategies remove the inherent difficulties in mesh generation for fractured media, as they employ two different non-conforming meshes. While the Continuous Galerkin discretization has been shown to be locally conservative, this property has yet to be investigated for embedded strategies. This paper demonstrates that embedded strategies, based on dual Lagrange multiplier and discretized within a Continuous Galerkin framework, are locally conservative. We conduct a numerical analysis of the conservation properties in both hybrid- and equi-dimensional models for fractured porous media. Our results strongly support the conservation properties of embedded strategies.

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来源期刊
BIT Numerical Mathematics
BIT Numerical Mathematics 数学-计算机:软件工程
CiteScore
2.90
自引率
0.00%
发文量
38
审稿时长
6 months
期刊介绍: The journal BIT has been published since 1961. BIT publishes original research papers in the rapidly developing field of numerical analysis. The essential areas covered by BIT are development and analysis of numerical methods as well as the design and use of algorithms for scientific computing. Topics emphasized by BIT include numerical methods in approximation, linear algebra, and ordinary and partial differential equations.
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