A meshless method based on moving Kriging interpolation for a two-dimensional time-fractional diffusion equation
Creators
- 1. Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211 (China)
- 2. Ningbo Institute of Technology, Zhejiang University, Ningbo 315100 (China)
Description
Fractional diffusion equations have been the focus of modeling problems in hydrology, biology, viscoelasticity, physics, engineering, and other areas of applications. In this paper, a meshfree method based on the moving Kriging interpolation is developed for a two-dimensional time-fractional diffusion equation. The shape function and its derivatives are obtained by the moving Kriging interpolation technique. For possessing the Kronecker delta property, this technique is very efficient in imposing the essential boundary conditions. The governing time-fractional diffusion equations are transformed into a standard weak formulation by the Galerkin method. It is then discretized into a meshfree system of time-dependent equations, which are solved by the standard central difference method. Numerical examples illustrating the applicability and effectiveness of the proposed method are presented and discussed in detail. (general)
Availability note (English)
Available from http://dx.doi.org/10.1088/1674-1056/23/4/040203Additional details
Identifiers
Publishing Information
- Journal Title
- Chinese Physics. B
- Journal Volume
- 23
- Journal Issue
- 4
- Journal Page Range
- [7 p.]
- ISSN
- 1674-1056
INIS
- Country of Publication
- China
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 46081884
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- BOUNDARY CONDITIONS; COMPUTERIZED SIMULATION; DIFFUSION EQUATIONS; INTERPOLATION; KRIGING; TIME DEPENDENCE; TWO-DIMENSIONAL CALCULATIONS
- Descriptors DEC
- DIFFERENTIAL EQUATIONS; EQUATIONS; MATHEMATICAL SOLUTIONS; MATHEMATICS; NUMERICAL SOLUTION; PARTIAL DIFFERENTIAL EQUATIONS; SIMULATION; STATISTICS