Discrete duality finite volume scheme for a generalized Joule heating problem

IF 1.4 2区 数学 Q1 MATHEMATICS Calcolo Pub Date : 2024-02-07 DOI:10.1007/s10092-024-00566-4
Mustapha Bahari, El-Houssaine Quenjel, Mohamed Rhoudaf
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Abstract

In this paper we conceive and analyze a discrete duality finite volume (DDFV) scheme for the unsteady generalized thermistor problem, including a p-Laplacian for the diffusion and a Joule heating source. As in the continuous setting, the main difficulty in the design of the discrete model comes from the Joule heating term. To cope with this issue, the Joule heating term is replaced with an equivalent key formulation on which a fully implicit scheme is constructed. Introducing a tricky cut-off function in the proposed discretization, we are able to recover the energy estimates on the discrete temperature. Another feature of this approach is that we dispense with the discrete maximum principle on the approximate electric potential, which in essence poses restrictive constraints on the mesh shape. Then, the existence of discrete solution to the coupled scheme is established. Compactness estimates are also shown. Under general assumptions on the data and meshes, the convergence of the numerical scheme is addressed. Numerical results are finally presented to show the efficiency and accuracy of the proposed methodology as well as the behavior of the implemented nonlinear solver.

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广义焦耳加热问题的离散二元有限体积方案
本文构思并分析了非稳态广义热敏电阻问题的离散对偶有限体积(DDFV)方案,包括扩散的 p-Laplacian 和焦耳加热源。与连续环境下一样,离散模型设计的主要困难来自焦耳加热项。为了解决这个问题,焦耳加热项被一个等价键公式取代,并在此基础上构建了一个完全隐式方案。在建议的离散化中引入一个棘手的截止函数,我们就能恢复离散温度的能量估计值。这种方法的另一个特点是,我们摒弃了近似电动势的离散最大值原则,这在本质上对网格形状构成了限制性约束。然后,建立了耦合方案的离散解的存在性。同时还给出了紧凑性估计。在数据和网格的一般假设下,讨论了数值方案的收敛性。最后给出了数值结果,以显示所提方法的效率和准确性,以及所实施的非线性求解器的行为。
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来源期刊
Calcolo
Calcolo 数学-数学
CiteScore
2.40
自引率
11.80%
发文量
36
审稿时长
>12 weeks
期刊介绍: Calcolo is a quarterly of the Italian National Research Council, under the direction of the Institute for Informatics and Telematics in Pisa. Calcolo publishes original contributions in English on Numerical Analysis and its Applications, and on the Theory of Computation. The main focus of the journal is on Numerical Linear Algebra, Approximation Theory and its Applications, Numerical Solution of Differential and Integral Equations, Computational Complexity, Algorithmics, Mathematical Aspects of Computer Science, Optimization Theory. Expository papers will also appear from time to time as an introduction to emerging topics in one of the above mentioned fields. There will be a "Report" section, with abstracts of PhD Theses, news and reports from conferences and book reviews. All submissions will be carefully refereed.
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