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Boundary particle method for Laplace transformed time fractional diffusion equations

机译:拉普拉斯变换时间分数扩散方程的边界粒子方法

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This paper develops a novel boundary discretization meshless approach, Laplace transformed boundary particle method (LTBPM), for numerical modeling of time fractional diffusion equations. The present approach implements Laplace transform technique to obtain the corresponding time-independent inhomogeneous equation and then employs a truly boundary-only meshless boundary particle method (BPM) to solve the Laplace-transformed inhomogeneous problem. Unlike the other boundary discretization methods, the BPM does not require any inner nodes, since the recursive composite multiple reciprocity technique is used to reduce an inhomogeneous problem to a series of higher-order homogeneous problems. Finally, the Stehfest numerical Laplace inversion can retrieve the numerical solutions of time fractional diffusion equations from the corresponding BPM solutions. The present method avoids enormous computing costs for the simulation of a long history fractional systems and remedies the low accuracy at the initial instants of time encountered in the other traditional methodologies. Numerical experiments demonstrate that the LTBPM is highly accurate, computationally efficient, and numerically stable for 2D and 3D time fractional diffusion equations.
机译:本文开发了一种新颖的边界离散化无丝绒方法,LAPLACE变换边界粒子方法(LTBPM),用于时间分数扩散方程的数值建模。本方法实现了拉普拉斯变换技术,获得了相应的时间无关的不均匀方程,然后采用真正的边界无网格边界颗粒方法(BPM)来解决拉普拉斯变换的不均匀问题。与其他边界离散化方法不同,BPM不需要任何内部节点,因为递归复合多往复性技术用于减少不均匀的问题,以一系列高阶均匀问题。最后,STehfest数值拉普拉斯倒置可以从相应的BPM解决方案检索时间分数扩散方程的数值解。本方法避免了巨大的计算成本,用于模拟漫长的历史分数系统,并在其他传统方法中遇到的初始时间阶段的低精度补救。数值实验表明,LTBPM高度精确,计算高效,以及2D和3D时间分数扩散方程的数值稳定。

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