Institute for Advanced Study, Nanchang University, Nanchang 330031, China.
Department of Applied Mathematics, Shahid Bahonar University of Kerman, Kerman, Iran.
J Adv Res. 2021 Jan 16;32:73-84. doi: 10.1016/j.jare.2020.12.015. eCollection 2021 Sep.
This study describes a novel meshless technique for solving one of common problem within cell biology, computer graphics, image processing and fluid flow. The diffusion mechanism has extremely depended on the properties of the structure.
The present paper studies why diffusion processes not following integer-order differential equations, and present novel meshless method for solving. diffusion problem on surface numerically.
The variable- order time fractional diffusion equation (VO-TFDE) is developed along with sense of the Caputo derivative for . An efficient and accurate meshfree method based on the singular boundary method (SBM) and dual reciprocity method (DRM) in concomitant with finite difference scheme is proposed on three-dimensional arbitrary geometry. To discrete of the temporal term, the finite diffract method (FDM) is utilized. In the spatial variation domain; the proposal method is constructed two part. To evaluating first part, fundamental solution of (VO-TFDE) is transformed into inhomogeneous Helmholtz-type to implement the SBM approximation and other part the DRM is utilized to compute the particular solution.
The stability and convergent of the proposed method is numerically investigated on high dimensional domain. To verified the reliability and the accuracy of the present approach on complex geometry several examples are investigated.
The result of study provides a rapid and practical scheme to capture the behavior of diffusion process.
本研究描述了一种新的无网格技术,用于解决细胞生物学、计算机图形学、图像处理和流体流动中常见问题之一。扩散机制极大地依赖于结构的性质。
本文研究了扩散过程为什么不遵循整数阶微分方程,并提出了一种新的无网格方法来解决表面扩散问题。
针对 ,沿 Caputo 导数发展了变阶时间分数扩散方程(VO-TFDE)。在伴随有限差分格式的奇异边界法(SBM)和对偶互易法(DRM)基础上,提出了一种在三维任意几何形状上求解扩散问题的高效、精确的无网格方法。为离散时间项,采用有限差分法(FDM)。在空间变化域中,提出的方法分为两部分。为了评估第一部分,(VO-TFDE)的基本解被转化为非齐次亥姆霍兹型以实现 SBM 逼近,而另一部分则利用 DRM 来计算特解。
在高维域上对所提出方法的稳定性和收敛性进行了数值研究。为了验证本方法在复杂几何形状上的可靠性和准确性,研究了几个实例。
研究结果为捕捉扩散过程的行为提供了一种快速实用的方案。