Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0045-7825(01)00419-4
DC FieldValue
dc.titleOn the optimal shape parameters of radial basis functions used for 2-D meshless methods
dc.contributor.authorWang, J.G.
dc.contributor.authorLiu, G.R.
dc.date.accessioned2014-04-24T09:36:04Z
dc.date.available2014-04-24T09:36:04Z
dc.date.issued2002-03-29
dc.identifier.citationWang, J.G., Liu, G.R. (2002-03-29). On the optimal shape parameters of radial basis functions used for 2-D meshless methods. Computer Methods in Applied Mechanics and Engineering 191 (23-24) : 2611-2630. ScholarBank@NUS Repository. https://doi.org/10.1016/S0045-7825(01)00419-4
dc.identifier.issn00457825
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51490
dc.description.abstractA radial point interpolation meshless (or radial PIM) method was proposed by authors to overcome the possible singularity associated with only polynomial basis. The radial PIM used multiquadric (MQ) or Gaussian as basis functions. These two radial basis functions all included shape parameters. Although choice of shape parameters has been a hot topic in approximation theory and some empirical formulae were proposed, how these shape parameters affect the accuracy of the radial PIM has not been studied yet. This paper studied the effect of shape parameters on the numerical accuracy of radial PIM. A range of suitable shape parameters is obtained from the analysis of the condition number of the system matrix, error of energy and irregularity of node distribution. It is observed that the widely used shape parameters for MQ and reciprocal MQ basis are not even close to their optimums. The optimal shape parameters are found in this paper to be simply q=1.03 and R=1.42 for MQ basis and c=0.003-0.03 for Gaussian basis. © 2002 Elsevier Science B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0045-7825(01)00419-4
dc.sourceScopus
dc.subjectMeshless method
dc.subjectOptimal shape parameters
dc.subjectRadial basis function
dc.subjectStress analysis
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.departmentTROPICAL MARINE SCIENCE INSTITUTE
dc.description.doi10.1016/S0045-7825(01)00419-4
dc.description.sourcetitleComputer Methods in Applied Mechanics and Engineering
dc.description.volume191
dc.description.issue23-24
dc.description.page2611-2630
dc.description.codenCMMEC
dc.identifier.isiut000174847300008
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