A second-order in time, BGN-based parametric finite element method for geometric flows of curves
Wei Jiang, Chunmei Su, Ganghui Zhang

TL;DR
This paper introduces a second-order in time, BGN-based parametric finite element method for geometric curve flows, improving temporal accuracy and mesh quality over traditional first-order schemes using shape metrics for error measurement.
Contribution
It develops a fully discrete, second-order temporal scheme based on the BGN formulation with novel mesh regularization techniques for geometric flows of curves.
Findings
The scheme achieves second-order accuracy in shape metrics.
It maintains good mesh distribution properties.
One mesh regularization technique exhibits unconditional energy stability.
Abstract
Over the last two decades, the field of geometric curve evolutions has attracted significant attention from scientific computing. One of the most popular numerical methods for solving geometric flows is the so-called BGN scheme, which was proposed by Barrett, Garcke, and N\"urnberg (J. Comput. Phys., 222 (2007), pp.~441--467), due to its favorable properties (e.g., its computational efficiency and the good mesh property). However, the BGN scheme is limited to first-order accuracy in time, and how to develop a higher-order numerical scheme is challenging. In this paper, we propose a fully discrete, temporal second-order parametric finite element method, which integrates with two different mesh regularization techniques, for solving geometric flows of curves. The scheme is constructed based on the BGN formulation and a semi-implicit Crank-Nicolson leap-frog time stepping discretization as…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Model Reduction and Neural Networks · Lattice Boltzmann Simulation Studies
