Solving the Kirsch Problem with Mesh-free Elements Using Radial Base Interpolation Functions

The problem of Kirsch published in 1898, is used as a basis for corroborating the relative precision of numerical methods developed in the mechanics of solids. For this reason, the solution of this problem is used to evaluate the accuracy of the Mfree numerical method with a function of form using t...

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Autores:
Realpe, Fabio H.
Ochoa, Yasser H.
Franco, Francisco
Díaz, Pedro J.
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/13179
Acceso en línea:
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4641
http://hdl.handle.net/10784/13179
Palabra clave:
Mesh-free elements (Mfree)
Radial Point Interpolation Method (RPIM)
Radio Basis Functions Multi-quadratics (RBF)
Mfree (Elementos Libres de Malla)
RPIM (Método de interpolación de puntos radiales)
MQ (Multi-cuadráticas)
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Copyright (c) 2017 Fabio H Realpe, Yasser H Ochoa, Francisco Franco, Pedro J Díaz
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network_acronym_str REPOEAFIT2
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repository_id_str
dc.title.eng.fl_str_mv Solving the Kirsch Problem with Mesh-free Elements Using Radial Base Interpolation Functions
dc.title.spa.fl_str_mv Solución del problema de Kirsch mediante elementos libres de malla, utilizando funciones de interpolación de base radial
title Solving the Kirsch Problem with Mesh-free Elements Using Radial Base Interpolation Functions
spellingShingle Solving the Kirsch Problem with Mesh-free Elements Using Radial Base Interpolation Functions
Mesh-free elements (Mfree)
Radial Point Interpolation Method (RPIM)
Radio Basis Functions Multi-quadratics (RBF)
Mfree (Elementos Libres de Malla)
RPIM (Método de interpolación de puntos radiales)
MQ (Multi-cuadráticas)
title_short Solving the Kirsch Problem with Mesh-free Elements Using Radial Base Interpolation Functions
title_full Solving the Kirsch Problem with Mesh-free Elements Using Radial Base Interpolation Functions
title_fullStr Solving the Kirsch Problem with Mesh-free Elements Using Radial Base Interpolation Functions
title_full_unstemmed Solving the Kirsch Problem with Mesh-free Elements Using Radial Base Interpolation Functions
title_sort Solving the Kirsch Problem with Mesh-free Elements Using Radial Base Interpolation Functions
dc.creator.fl_str_mv Realpe, Fabio H.
Ochoa, Yasser H.
Franco, Francisco
Díaz, Pedro J.
dc.contributor.author.none.fl_str_mv Realpe, Fabio H.
Ochoa, Yasser H.
Franco, Francisco
Díaz, Pedro J.
dc.contributor.affiliation.spa.fl_str_mv Universidad del Cauca
Universidad del Valle
Universidad Industrial de Santander
dc.subject.keyword.eng.fl_str_mv Mesh-free elements (Mfree)
Radial Point Interpolation Method (RPIM)
Radio Basis Functions Multi-quadratics (RBF)
topic Mesh-free elements (Mfree)
Radial Point Interpolation Method (RPIM)
Radio Basis Functions Multi-quadratics (RBF)
Mfree (Elementos Libres de Malla)
RPIM (Método de interpolación de puntos radiales)
MQ (Multi-cuadráticas)
dc.subject.keyword.spa.fl_str_mv Mfree (Elementos Libres de Malla)
RPIM (Método de interpolación de puntos radiales)
MQ (Multi-cuadráticas)
description The problem of Kirsch published in 1898, is used as a basis for corroborating the relative precision of numerical methods developed in the mechanics of solids. For this reason, the solution of this problem is used to evaluate the accuracy of the Mfree numerical method with a function of form using the radial points of interpolation, in the mesh-free numerical method. The radial points of interpolation method (RPIM) is an interpolation technique used to construct form functions with locally distributed nodes in a weak formulation that allows the representation of the problem as a system of equations. The most common type of functions are the polynomial functions or MQ radial basis functions (RBF), which was used for the stability it presents at the moment of solving the problem numerically. The most common type of functions are the polynomial functions or radial basis functions (RBF), which was used for the stability it presents at the moment of solving the problem numerically. To make the comparison we used the analytical solution given by Kirsch and the numerical solution developed in the present work, obtained an error of 0.00899%, which shows that the Mfree technique with radial bases of interpolation MQ are accurate and reliable when used as a numerical method of analysis.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017-11-14
dc.date.available.none.fl_str_mv 2018-11-16T16:28:58Z
dc.date.accessioned.none.fl_str_mv 2018-11-16T16:28:58Z
dc.date.none.fl_str_mv 2017-11-14
dc.type.eng.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
article
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dc.type.local.spa.fl_str_mv Artículo
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1794-9165
dc.identifier.uri.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4641
http://hdl.handle.net/10784/13179
dc.identifier.doi.none.fl_str_mv 10.17230/ingciencia.13.26.1
identifier_str_mv 2256-4314
1794-9165
10.17230/ingciencia.13.26.1
url http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4641
http://hdl.handle.net/10784/13179
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language spa
dc.relation.isversionof.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4641
dc.rights.eng.fl_str_mv Copyright (c) 2017 Fabio H Realpe, Yasser H Ochoa, Francisco Franco, Pedro J Díaz
Attribution 4.0 International (CC BY 4.0)
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by/4.0
dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Copyright (c) 2017 Fabio H Realpe, Yasser H Ochoa, Francisco Franco, Pedro J Díaz
Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0
Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.none.fl_str_mv instname:Universidad EAFIT
reponame:Repositorio Institucional Universidad EAFIT
dc.source.eng.fl_str_mv Ingeniería y Ciencia; Vol 13 No 26 (2017); 11-38
dc.source.spa.fl_str_mv Ingeniería y Ciencia; Vol 13 No 26 (2017); 11-38
instname_str Universidad EAFIT
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spelling 2017-11-142018-11-16T16:28:58Z2017-11-142018-11-16T16:28:58Z2256-43141794-9165http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4641http://hdl.handle.net/10784/1317910.17230/ingciencia.13.26.1The problem of Kirsch published in 1898, is used as a basis for corroborating the relative precision of numerical methods developed in the mechanics of solids. For this reason, the solution of this problem is used to evaluate the accuracy of the Mfree numerical method with a function of form using the radial points of interpolation, in the mesh-free numerical method. The radial points of interpolation method (RPIM) is an interpolation technique used to construct form functions with locally distributed nodes in a weak formulation that allows the representation of the problem as a system of equations. The most common type of functions are the polynomial functions or MQ radial basis functions (RBF), which was used for the stability it presents at the moment of solving the problem numerically. The most common type of functions are the polynomial functions or radial basis functions (RBF), which was used for the stability it presents at the moment of solving the problem numerically. To make the comparison we used the analytical solution given by Kirsch and the numerical solution developed in the present work, obtained an error of 0.00899%, which shows that the Mfree technique with radial bases of interpolation MQ are accurate and reliable when used as a numerical method of analysis.El problema de Kirsch publicado en 1898, es utilizado como base para corroborar la precisión relativa de los métodos numéricos desarrollados en la mecánica de sólidos. Por esta razón se utiliza la solución de este problema para evaluar la precisión del método numérico Mfree con una función de forma utilizando los puntos radiales de interpolación, en el método numérico libre de malla. El método de puntos radiales de interpolación es una técnica de interpolación utilizada para construir funciones de forma con nodos distribuidos localmente en una formulación débil la cual permite representar el problema como un sistema de ecuaciones. El tipo de funciones más usuales son las funciones polinomiales o funciones de base radial MQ (RBF, radio basis functions), la cual fue utilizada por la estabilidad que presenta al momento de solucionar el problema numéricamente. Para hacer la comparación se usó la solución analítica dada por Kirsch y la solución numérica desarrollada en el presente trabajo, obtenido un error del 0.00899% lo que muestra que la técnica Mfree con bases radiales de interpolación MQ son precisas y confiables al momento de ser utilizadas como método numérico de análisis.application/pdfspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4641Copyright (c) 2017 Fabio H Realpe, Yasser H Ochoa, Francisco Franco, Pedro J DíazAttribution 4.0 International (CC BY 4.0)http://creativecommons.org/licenses/by/4.0Acceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 13 No 26 (2017); 11-38Ingeniería y Ciencia; Vol 13 No 26 (2017); 11-38Solving the Kirsch Problem with Mesh-free Elements Using Radial Base Interpolation FunctionsSolución del problema de Kirsch mediante elementos libres de malla, utilizando funciones de interpolación de base radialinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionarticlepublishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Mesh-free elements (Mfree)Radial Point Interpolation Method (RPIM)Radio Basis Functions Multi-quadratics (RBF)Mfree (Elementos Libres de Malla)RPIM (Método de interpolación de puntos radiales)MQ (Multi-cuadráticas)Realpe, Fabio H.ca8e71a9-9648-4dbf-a6ab-83e6b3721f9c-1Ochoa, Yasser H.80daebb7-fbdc-4b0f-80bb-eccfa60e0205-1Franco, Francisco1b42ac3e-1198-47c5-8a3c-5ac093092e39-1Díaz, Pedro J.71230b39-d829-45f3-9e45-b98a95bffe04-1Universidad del CaucaUniversidad del ValleUniversidad Industrial de SantanderIngeniería y Ciencia13261138ing.ciencTHUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/531794a0-cdc8-4a93-a623-abe0ba942e05/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINAL1.pdf1.pdfTexto completo PDFapplication/pdf1584779https://repository.eafit.edu.co/bitstreams/8a572c2f-bd9c-45e9-8e0b-945bd21751f3/download7e2a552db52b23c7e13e01ad1ff45463MD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html374https://repository.eafit.edu.co/bitstreams/730cb356-9a16-4076-88e9-2b7e99a33763/downloadd3f4224c39e23564e6a27433a295d2f9MD5310784/13179oai:repository.eafit.edu.co:10784/131792024-12-04 11:48:07.18http://creativecommons.org/licenses/by/4.0Copyright (c) 2017 Fabio H Realpe, Yasser H Ochoa, Francisco Franco, Pedro J Díazopen.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co