Enriched reproducing kernel particle method for fractional advection–diffusion equation

Yuping Ying, Yanping Lian, Shaoqiang Tang*, Wing Kam Liu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

23 引用 (Scopus)

摘要

The reproducing kernel particle method (RKPM) has been efficiently applied to problems with large deformations, high gradients and high modal density. In this paper, it is extended to solve a nonlocal problem modeled by a fractional advection–diffusion equation (FADE), which exhibits a boundary layer with low regularity. We formulate this method on a moving least-square approach. Via the enrichment of fractional-order power functions to the traditional integer-order basis for RKPM, leading terms of the solution to the FADE can be exactly reproduced, which guarantees a good approximation to the boundary layer. Numerical tests are performed to verify the proposed approach.

源语言英语
页(从-至)515-527
页数13
期刊Acta Mechanica Sinica/Lixue Xuebao
34
3
DOI
出版状态已出版 - 1 6月 2018
已对外发布

指纹

探究 'Enriched reproducing kernel particle method for fractional advection–diffusion equation' 的科研主题。它们共同构成独一无二的指纹。

引用此