Open Access

ARTICLE

A Posteriori Error Estimation and Adaptive Node Refinement for Fast Moving Least Square Reproducing Kernel (FMLSRK) Method

by Chany Lee¹, Chang-Hwan Im², Hyun-Kyo Jung³, Hong-Kyu Kim⁴, Do Wan Kim⁵

1 Seoul National University, Seoul, Korea.
2 Corresponding author. Dept. Biomedical Eng., Yonsei University, Wonju, Korea.
3 Seoul National University, Seoul, Korea.
4 Korea Electrotechnology Research Institute, Changwon,Korea.
5 Hanyang University, Ansan, Korea.

Computer Modeling in Engineering & Sciences 2007, 20(1), 35-42. https://doi.org/10.3970/cmes.2007.020.035

Abstract

In the present study, a residual-based a posteriori error estimation for a kind of meshless method, called fast moving least square reproducing kernel (FMLSRK) method is proposed. The proposed error estimation technique does not require any integration cells in evaluating error norm but recovers the exact solutions in a virtual area defined by a dilation parameter of FMLSRK and node density. The proposed technique was tested on typical electrostatic problems with gird or random node sets and the simulation results show that the proposed error estimation technique can be applied to adaptive node refinement process for more efficient meshless analysis of electromagnetic field.

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Keywords

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