An optimally convergent Fictitious Domain method for interface problems

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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引用次数: 0

Abstract

We introduce a novel Fictitious Domain (FD) unfitted method for interface problems associated with a second-order elliptic linear differential operator, that achieves optimal convergence without the need for adaptive mesh refinements nor enrichments of the Finite Element spaces. The key aspect of the proposed method is that it extends the solution into the fictitious domain in a way that ensures high global regularity. Continuity of the solution across the interface is enforced through a boundary Lagrange multiplier. The subdomains coupling, however, is not achieved by means of the duality pairing with the Lagrange multiplier, but through an L2 product with the H1 Riesz representative of the latter, thus avoiding gradient jumps across the interface. Thanks to the enhanced regularity, the proposed method attains an increase, with respect to standard FD methods, of up to one order of convergence in energy norm. The Finite Element formulation of the method is presented, followed by its analysis. Numerical tests on a model problem demonstrate its effectiveness and its superior accuracy compared to standard unfitted methods.

界面问题的最佳收敛虚构域法
我们针对与二阶椭圆线性微分算子相关的界面问题引入了一种新颖的虚构域(FD)非拟合方法,该方法无需自适应网格细化,也无需丰富有限元空间,即可实现最佳收敛。所提方法的关键之处在于,它以一种确保高度全局正则性的方式将解法扩展到了虚构域。通过边界拉格朗日乘法器,可确保解法在界面上的连续性。不过,子域耦合不是通过与拉格朗日乘法器的对偶实现的,而是通过与后者的 H1 Riesz 代表的 L2 乘积实现的,从而避免了跨界面梯度跳跃。由于增强了正则性,与标准 FD 方法相比,所提出的方法在能量规范收敛方面最多提高了一个数量级。本文首先介绍了该方法的有限元公式,然后对其进行了分析。对模型问题的数值测试表明了该方法的有效性,以及与标准非拟合方法相比更高的精确度。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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