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arXiv 2402.03641math.NAcs.NA
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用于几何流的基于BGN的参数化有限元方法的稳定BDF时间离散化

Stable BDF time discretization of BGN-based parametric finite element methods for geometric flows

Wei Jiang, Chunmei Su, Ganghui Zhang

AI总结:

该研究将BDF时间离散方法引入BGN公式,构建了二阶到四阶精度的高阶BGN/BDF$k$参数化有限元格式,既保留经典BGN格式的优势,又实现高阶时间精度,经数值算例验证其在几何流求解中性能优异。

摘要:

我们提出了一类新型的时间高阶参数化有限元方法,用于求解各类曲线和曲面的几何流问题。通过将后向微分公式(backward differentiation formulae,BDF)时间离散方法引入由Barrett、Garcke和Nürnberg最初提出的BGN公式(发表于《Journal of Computational Physics》,222卷,2007年,第441-467页),我们成功构建了高阶BGN/BDF$k$格式。所提出的BGN/BDF$k$格式不仅几乎保留了经典一阶BGN格式计算效率高、网格质量好等全部优势,还在形状度量指标上达到了预期的$k$阶时间精度,精度范围覆盖二阶到四阶。此外,我们通过大量数值算例验证了所提BGN/BDF$k$格式的性能,证明其在各类几何流问题中具备高阶时间精度,且演化过程中始终能保持良好的网格质量。

英文摘要:

We propose a novel class of temporal high-order parametric finite element methods for solving a wide range of geometric flows of curves and surfaces. By incorporating the backward differentiation formulae (BDF) for time discretization into the BGN formulation, originally proposed by Barrett, Garcke, and Nürnberg (J. Comput. Phys., 222 (2007), pp.~441--467), we successfully develop high-order BGN/BDF$k$ schemes. The proposed BGN/BDF$k$ schemes not only retain almost all the advantages of the classical first-order BGN scheme such as computational efficiency and good mesh quality, but also exhibit the desired $k$th-order temporal accuracy in terms of shape metrics, ranging from second-order to fourth-order accuracy. Furthermore, we validate the performance of our proposed BGN/BDF$k$ schemes through extensive numerical examples, demonstrating their high-order temporal accuracy for various types of geometric flows while maintaining good mesh quality throughout the evolution.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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