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A grid based particle method for solving partial differential equations on evolving surfaces and modeling high order geometrical motion

机译:一种基于网格的粒子方法,用于求解旋转表面上的偏微分方程并建模高阶几何运动

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摘要

We develop numerical methods for solving partial differential equations (PDE) defined on an evolving interface represented by the grid based particle method (GBPM) recently proposed in [S. Leung, H.K. Zhao, A grid based particle method for moving interface problems, J. Comput. Phys. 228 (2009) 7706-7728]. In particular, we develop implicit time discretization methods for the advection-diffusion equation where the time step is restricted solely by the advection part of the equation. We also generalize the GBPM to solve high order geometrical flows including surface diffusion and Willmore-type flows. The resulting algorithm can be easily implemented since the method is based on meshless particles quasi-uniformly sampled on the interface. Furthermore, without any computational mesh or triangulation defined on the interface, we do not require remeshing or reparametrization in the case of highly distorted motion or when there are topological changes. As an interesting application, we study locally inextensible flows governed by energy minimization. We introduce tension force via a Lagrange multiplier determined by the solution to a Helmholtz equation defined on the evolving interface. Extensive numerical examples are also given to demonstrate the efficiency of the proposed approach.
机译:我们开发了用于求解偏微分方程(PDE)的数值方法,该偏微分方程(PDE)在由[S.梁香港Zhao,一种基于网格的移动界面问题的粒子方法,J。Comput。物理228(2009)7706-7728]。特别是,我们开发了对流扩散方程的隐式时间离散方法,其中时间步长仅受方程对流部分的限制。我们还通用化了GBPM来解决包括表面扩散和Willmore型流动在内的高阶几何流动。由于该方法基于在界面上准均匀采样的无网格粒子,因此可以轻松实现所得算法。此外,在界面上未定义任何计算网格或三角剖分的情况下,在运动高度失真或拓扑发生变化的情况下,我们不需要重新网格化或重新参数化。作为一个有趣的应用,我们研究了由能量最小化控制的局部不可扩展流。我们通过拉格朗日乘数引入拉力,该拉格朗日乘数由在演化界面上定义的亥姆霍兹方程的解确定。还给出了大量的数值示例来证明所提出方法的有效性。

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