采用二阶拉格朗日乘法的修正上风有限体积方案,用于交错断裂多孔介质中的降维传输模型

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2024-10-01 DOI:10.1016/j.camwa.2024.09.024
Wei Liu , Zhifeng Wang , Gexian Fan , Yingxue Song
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引用次数: 0

摘要

本文引入了一个降维模型来表达含有相交裂缝的多孔介质中的溶质传输,其中裂缝被视为相对于周围介质尺寸的降维流形。传输条件可用于描述浓度和通量的物理行为。我们为平流主导的扩散模型构建了一种涉及 BDF2 时间离散化和修正上风方案的混合维有限体积方法。根据耦合项的误差估计,在交错非均匀网格上推导出完全时空二阶收敛率。数值测试表明,所提出的有限体积方法可以高效灵活地处理多孔介质中具有多条 L 形、交叉和分叉裂缝的简化模型。此外,还开发了拉格朗日乘法器方法,用于在相交断裂多孔介质中构建降维平流主导扩散模型的保界方案。
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Modified upwind finite volume scheme with second-order Lagrange multiplier method for dimensionally reduced transport model in intersecting fractured porous media
In this paper, a dimensionally reduced model is introduced to express the solute transport in the porous media containing with intersecting fractures, in which the fractures are treated as dimensionally reduced manifolds with respect to the dimensions of surrounding media. The transmission conditions can be used to describe the physical behavior of concentration and flux. We construct a hybrid-dimensional finite volume method involving BDF2 time discretization and modified upwind scheme for advection-dominated diffusion model. Fully space-time second-order convergence rate is deduced on the staggered nonuniform grids based on the error estimates of coupling terms. The numerical tests are presented to show that the proposed finite volume method can handle reduced model in porous media with multiple L-shaped, crossing and bifurcated fractures efficiently and flexibly. In addition, the Lagrange multiplier approach is developed to construct bound preserving schemes for dimensionally reduced advection-dominated diffusion model in intersecting fractured porous media.
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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