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Boundary particle method for Laplace transformed time fractional diffusion equations

机译:Laplace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网格方法,即拉普拉斯变换边界粒子方法(LTBPM),用于时间分数扩散方程的数值建模。该方法实现了拉普拉斯变换技术以获得对应的时间无关的不均匀方程,然后采用真正的仅边界无网格边界粒子方法(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,因为递归复合多重互易技术用于将不均匀问题减少为一系列高阶齐次问题。最后,Stehfest数值拉普拉斯反演可以从相应的BPM解中检索时间分数扩散方程的数值解。本方法避免了用于模拟历史悠久的分数系统的巨大计算成本,并弥补了其他传统方法中在初始时间瞬间的低精度。数值实验表明,对于2D和3D时间分数扩散方程,LTBPM具有很高的准确性,计算效率和数值稳定性。

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