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Numerical Simulations of a Polydisperse Sedimentation Model by Using Spectral WENO Method with Adaptive Multiresolution
dc.creator | Vega C.A. | |
dc.creator | Arias Amaya, Fabián | |
dc.date.accessioned | 2020-03-26T16:32:41Z | |
dc.date.available | 2020-03-26T16:32:41Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | International Journal of Computational Methods; Vol. 13, Núm. 6 | |
dc.identifier.issn | 02198762 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/8974 | |
dc.description.abstract | In this work, we apply adaptive multiresolution (Harten's approach) characteristic-wise fifth-order Weighted Essentially Non-Oscillatory (WENO) for computing the numerical solution of a polydisperse sedimentation model, namely, the Höfler and Schwarzer model. In comparison to other related works, time discretization is carried out with the ten-stage fourth-order strong stability preserving Runge-Kutta method which is more efficient than the widely used optimal third-order TVD Runge-Kutta method. Numerical results with errors, convergence rates and CPU times are included for four and 11 species. © 2016 World Scientific Publishing Company. | eng |
dc.format.medium | Recurso electrónico | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | World Scientific Publishing Co. Pte Ltd | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84967102576&doi=10.1142%2fS0219876216500377&partnerID=40&md5=5e51497960f2d1bb8cf3e76f42051863 | |
dc.title | Numerical Simulations of a Polydisperse Sedimentation Model by Using Spectral WENO Method with Adaptive Multiresolution | |
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datacite.rights | http://purl.org/coar/access_right/c_16ec | |
oaire.resourceType | http://purl.org/coar/resource_type/c_6501 | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
dc.type.driver | info:eu-repo/semantics/article | |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | |
dc.identifier.doi | 10.1142/S0219876216500377 | |
dc.subject.keywords | Adaptive multiresolution | |
dc.subject.keywords | Höfler and Schwarzer model | |
dc.subject.keywords | Spectral-based WENO | |
dc.subject.keywords | SSPRK methods | |
dc.subject.keywords | Numerical methods | |
dc.subject.keywords | Numerical models | |
dc.subject.keywords | Polydispersity | |
dc.subject.keywords | Adaptive multi resolutions | |
dc.subject.keywords | Essentially non-oscillatory | |
dc.subject.keywords | Numerical solution | |
dc.subject.keywords | Sedimentation model | |
dc.subject.keywords | Spectral-based WENO | |
dc.subject.keywords | SSPRK methods | |
dc.subject.keywords | Strong stability preserving | |
dc.subject.keywords | Time discretization | |
dc.subject.keywords | Runge Kutta methods | |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.cc | Atribución-NoComercial 4.0 Internacional | |
dc.identifier.instname | Universidad Tecnológica de Bolívar | |
dc.identifier.reponame | Repositorio UTB | |
dc.type.spa | Artículo | |
dc.identifier.orcid | 56423657700 | |
dc.identifier.orcid | 57189266430 |
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