Regularity and an adaptive finite element method for elliptic equations with Dirac sources on line cracks

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-07-01 Epub Date: 2025-01-01 DOI:10.1016/j.cam.2024.116466
Huihui Cao , Hengguang Li , Nianyu Yi , Peimeng Yin
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Abstract

In this paper, we consider an adaptive finite element method for solving elliptic equations with line Dirac delta functions as the source term. Instead of using a local H1 local indicator, or regularizing the singular source term and using the classical residual-based a posteriori error estimator, we propose a novel a posteriori estimator based on an equivalent transmission problem. This equivalent problem is defined in the same domain as the original problem but features a zero source term and nonzero flux jumps along the line cracks, leading to a more regular solution. The a posteriori error estimator relies on meshes that conform to the line cracks, and its edge jump residual essentially incorporates the flux jumps of the transmission problem on these cracks. The proposed error estimator is proven to be both reliable and efficient. We also introduce an adaptive finite element algorithm based on this error estimator and the bisection refinement method. Numerical tests demonstrate that quasi-optimal convergence rates are achieved for both low-order and high-order approximations, with the associated adaptive meshes primarily refined at a finite number of singular points in the domain.
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直线裂纹上带狄拉克源椭圆方程的正则性及自适应有限元法
本文研究了以直线狄拉克函数为源项的椭圆型方程的自适应有限元解法。本文提出了一种新的基于等效传输问题的后验误差估计器,而不是使用局部H−1局部指标,或正则化奇异源项和使用经典的基于残差的后验误差估计器。该等效问题定义在与原问题相同的域中,但具有零源项和沿直线裂缝的非零通量跳变的特征,从而导致更规则的解。后验误差估计依赖于符合线裂纹的网格,其边缘跳变残差实质上包含了传输问题在这些裂纹上的通量跳变。实验证明,所提出的误差估计器是可靠和有效的。在此基础上提出了一种自适应有限元算法和二分法。数值试验表明,低阶和高阶近似均能达到拟最优收敛速度,相关的自适应网格主要在有限个数的域奇点处进行细化。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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