A semi-discrete finite element method for a class of time-fractional diffusion equations

被引:37
作者
Sun, HongGuang [1 ,2 ]
Chen, Wen [2 ]
Sze, K. Y. [1 ]
机构
[1] Univ Hong Kong, Dept Mech Engn, Pokfulam, Hong Kong, Peoples R China
[2] Hohai Univ, Coll Mech & Mat, Dept Engn Mech, Nanjing, Jiangsu, Peoples R China
来源
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2013年 / 371卷 / 1990期
基金
中国国家自然科学基金;
关键词
anomalous transport; Mittag-Leffler function; finite element method; time-fractional diffusion equation; ANOMALOUS DIFFUSION; SOLUTE TRANSPORT; DIFFERENTIAL-OPERATORS; DISPERSION; SPACE; APPROXIMATION; BOUNDARY; MODEL; FLOW;
D O I
10.1098/rsta.2012.0268
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
As fractional diffusion equations can describe the early breakthrough and the heavy-tail decay features observed in anomalous transport of contaminants in groundwater and porous soil, they have been commonly used in the related mathematical descriptions. These models usually involve long-time-range computation, which is a critical obstacle for their application; improvement of computational efficiency is of great significance. In this paper, a semi-discrete method is presented for solving a class of time-fractional diffusion equations that overcome the critical long-time-range computation problem. In the procedure, the spatial domain is discretized by the finite element method, which reduces the fractional diffusion equations to approximate fractional relaxation equations. As analytical solutions exist for the latter equations, the burden arising from long-time-range computation can effectively be minimized. To illustrate its efficiency and simplicity, four examples are presented. In addition, the method is used to solve the time-fractional advection-diffusion equation characterizing the bromide transport process in a fractured granite aquifer. The prediction closely agrees with the experimental data, and the heavy-tail decay of the anomalous transport process is well represented.
引用
收藏
页数:15
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