Local meshless methods for second order elliptic interface problems with sharp corners

•Different types of RBFs are utilized for localized meshless methods in the context of interface PDEs.•Both sharp edged and smooth edged interfaces are taken into account.•Fully scattered and uniform nodal distributions are considered.•Numerical order of convergence are calculated.•Shape parameter s...

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Bibliographic Details
Published in:Journal of computational physics Vol. 416; p. 109500
Main Authors: Ahmad, Masood, Siraj-ul-Islam, Larsson, Elisabeth
Format: Journal Article
Language:English
Published: Cambridge Elsevier Inc 01.09.2020
Elsevier Science Ltd
Subjects:
Accuracy
Collocation
Computational physics
Corners
Discontinuity
Elliptic interface model
Finite element method
Interfaces
Local meshless method
Mathematical analysis
Matrix representation
Meshless methods
Polynomials
Radial basis function
Radial basis functions
Sharp-edged interface
Sparse matrices
Sparse matrix
Sparse matrix
Elliptic interface model
Sharp-edged interface
Local meshless method
Radial basis functions
Collocation
ISSN:0021-9991, 1090-2716, 1090-2716
Online Access:Get full text
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Summary:•Different types of RBFs are utilized for localized meshless methods in the context of interface PDEs.•Both sharp edged and smooth edged interfaces are taken into account.•Fully scattered and uniform nodal distributions are considered.•Numerical order of convergence are calculated.•Shape parameter sensitivity analysis of the meshless methods is performed. In the present paper, we develop a local meshless procedure for solving a steady state two-dimensional interface problem having discontinuous coefficients and curved interfaces with sharp corners. The proposed local meshless methods are based on three types of radial basis functions (RBFs): a local meshless method based on multiquadric RBF (LMM1P), a local meshless method based on integrated multiquadric RBF (LMM2P) and a local meshless method based on hybrid Gaussian-Cubic RBF (LMM3P). Stencils are designed at the interface and interior regions to cope with discontinuities and sharp corners. Due to the localized nature of the procedure and a sparse matrix representation, the local meshless methods become computationally less expensive than global meshless methods. The methods are augmented with linear polynomial to improve accuracy and ensure stable computation. Comparison with some existing versions of finite element methods is also performed to show better accuracy of the proposed meshless methods. Accuracies of the proposed local meshless methods are also compared among themselves. Flexibility of the meshless methods with respect to complex geometries, adapting to different shapes of the interfaces and selection of the shape parameter is also considered.
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ISSN:0021-9991
1090-2716
1090-2716
DOI:10.1016/j.jcp.2020.109500