Numerical solution of potential problems using radial basis reproducing kernel particle method

The paper presents the radial basis reproducing kernel particle method (RRKPM) for potential problems. The proposed RRKPM can eliminate the negative effect of different reproducing kernel functions (RKF) on computational stability and accuracy. The integral weak form is used to derive a discretized...

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Main Authors: Hongfen Gao, Gaofeng Wei
Format: Article
Language:English
Published: Elsevier 2019-06-01
Series:Results in Physics
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379719300099
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author Hongfen Gao
Gaofeng Wei
author_facet Hongfen Gao
Gaofeng Wei
author_sort Hongfen Gao
collection DOAJ
description The paper presents the radial basis reproducing kernel particle method (RRKPM) for potential problems. The proposed RRKPM can eliminate the negative effect of different reproducing kernel functions (RKF) on computational stability and accuracy. The integral weak form is used to derive a discretized system equation for potential problem, and the essential boundary condition is imposed by the Lagrange interpolation method, the corresponding governing equations of RRKPM are investigated and obtained. Compared with the conventional RKPM, the RRKPM has higher computational stability and accuracy. Finally, the RRKPM is applied to numerical simulation of potential problems, and the accuracy and stability of the RRKPM can be illustrated by the two numerical results. Keywords: Radial basis functions, Meshless methods, Reproducing kernel particle method, The Lagrange interpolation method, Potential problems
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spelling doaj.art-d59dd358315f4c59bb3fc17c719c04ed2022-12-22T02:44:53ZengElsevierResults in Physics2211-37972019-06-0113Numerical solution of potential problems using radial basis reproducing kernel particle methodHongfen Gao0Gaofeng Wei1College of Mechanical and Electrical Engineering, Shandong Management University, Shandong 250357, ChinaSchool of Mechanical and Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Shandong 250353, China; Corresponding author.The paper presents the radial basis reproducing kernel particle method (RRKPM) for potential problems. The proposed RRKPM can eliminate the negative effect of different reproducing kernel functions (RKF) on computational stability and accuracy. The integral weak form is used to derive a discretized system equation for potential problem, and the essential boundary condition is imposed by the Lagrange interpolation method, the corresponding governing equations of RRKPM are investigated and obtained. Compared with the conventional RKPM, the RRKPM has higher computational stability and accuracy. Finally, the RRKPM is applied to numerical simulation of potential problems, and the accuracy and stability of the RRKPM can be illustrated by the two numerical results. Keywords: Radial basis functions, Meshless methods, Reproducing kernel particle method, The Lagrange interpolation method, Potential problemshttp://www.sciencedirect.com/science/article/pii/S2211379719300099
spellingShingle Hongfen Gao
Gaofeng Wei
Numerical solution of potential problems using radial basis reproducing kernel particle method
Results in Physics
title Numerical solution of potential problems using radial basis reproducing kernel particle method
title_full Numerical solution of potential problems using radial basis reproducing kernel particle method
title_fullStr Numerical solution of potential problems using radial basis reproducing kernel particle method
title_full_unstemmed Numerical solution of potential problems using radial basis reproducing kernel particle method
title_short Numerical solution of potential problems using radial basis reproducing kernel particle method
title_sort numerical solution of potential problems using radial basis reproducing kernel particle method
url http://www.sciencedirect.com/science/article/pii/S2211379719300099
work_keys_str_mv AT hongfengao numericalsolutionofpotentialproblemsusingradialbasisreproducingkernelparticlemethod
AT gaofengwei numericalsolutionofpotentialproblemsusingradialbasisreproducingkernelparticlemethod