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Performance of Compact Radial Basis Functions in the Direct Interpolation Boundary Element Method for Solving Potential Problems

by C. F. Loeffle1, L. Zamprogno2, W. J. Mansur3, A. Bulcão4

DEM/PPGEM, Federal University of Espírito Santo, carlos.loeffler@ufes.br (corresponding author).
PGSU Petrobras, lorenzo.souza@petrobras.com.br.
PEC/LAMEMO/COPPE/Federal University of Rio de Janeiro, webe@coc.ufrj.br.
CENPES Petrobras, bulcao@petrobras.com.br.

Computer Modeling in Engineering & Sciences 2017, 113(3), 367-387. https://doi.org/10.3970/cmes.2017.113.387

Abstract

This study evaluates the effectiveness of a new technique that transforms domain integrals into boundary integrals that is applicable to the boundary element method. Simulations were conducted in which two-dimensional surfaces were approximated by interpolation using radial basis functions with full and compact supports. Examples involving Poisson’s equation are presented using the boundary element method and the proposed technique with compact radial basis functions. The advantages and the disadvantages are examined through simulations. The effects of internal poles, the boundary mesh refinement and the value for the support of the radial basis functions on performance are assessed.

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APA Style
Loeffle, C.F., Zamprogno, L., Mansur, W.J., Bulcão, A. (2017). Performance of compact radial basis functions in the direct interpolation boundary element method for solving potential problems. Computer Modeling in Engineering & Sciences, 113(3), 367-387. https://doi.org/10.3970/cmes.2017.113.387
Vancouver Style
Loeffle CF, Zamprogno L, Mansur WJ, Bulcão A. Performance of compact radial basis functions in the direct interpolation boundary element method for solving potential problems. Comput Model Eng Sci. 2017;113(3):367-387 https://doi.org/10.3970/cmes.2017.113.387
IEEE Style
C. F. Loeffle, L. Zamprogno, W. J. Mansur, and A. Bulcão, “Performance of Compact Radial Basis Functions in the Direct Interpolation Boundary Element Method for Solving Potential Problems,” Comput. Model. Eng. Sci., vol. 113, no. 3, pp. 367-387, 2017. https://doi.org/10.3970/cmes.2017.113.387



cc Copyright © 2017 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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