A Posteriori Error Analysis for a Dual-mixed FEM for the Darcy-Forchheimer Problem
| UDC.coleccion | Investigación | |
| UDC.departamento | Matemáticas | |
| UDC.grupoInv | Modelos e Métodos Numéricos en Enxeñaría e Ciencias Aplicadas (M2NICA) | |
| UDC.institutoCentro | CITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación | |
| UDC.journalTitle | Journal of Computational and Applied Mathematics | |
| UDC.startPage | 117963 | |
| UDC.volume | 490 | |
| dc.contributor.author | González Taboada, María | |
| dc.contributor.author | Hecht, Frédéric | |
| dc.contributor.author | Varela Rodríguez, Hiram | |
| dc.date.accessioned | 2026-09-21T06:49:46Z | |
| dc.date.available | 2026-09-21T06:49:46Z | |
| dc.date.issued | 2027 | |
| dc.description | Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG | |
| dc.description.abstract | [Abstract]: We consider a dual-mixed variational formulation of the Darcy-Forchheimer model. Assuming that the permeability is a symmetric and positive-definite tensor, we prove the problem is well-posed. For the discretization, we approximate the velocity-pressure pair by Raviart-Thomas elements of the lowest order and piecewise constants, respectively. The corresponding discrete problem is well-posed, and we derive a priori error estimates. We also develop an a posteriori error analysis of the residual type and show the reliability of the new a posteriori error indicator. Finally, we provide some numerical experiments that support the theoretical results and suggest the indicator’s eventual efficiency. | |
| dc.description.sponsorship | This research was partially funded by the Spanish Ministerio de Ciencia e Innovación grant PID2023-150390OB-I00, and by CITIC (Spain) through Xunta de Galicia and the European Union (European Regional Development Fund-Galicia 2014-2020 Program) by grant ED431G 2019/01. The research of the first author was also partially funded by Xunta de Galicia (Spain) through grant ED431C 2022/47, while the research of the second author was partially funded by Ministerio de Ciencia, Innovación y Universidades, by grant FPU18/06125. Open access publication was funded by Universidade da Coruña, CISUG. | |
| dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | |
| dc.description.sponsorship | Xunta de Galicia; ED431C 2022/47 | |
| dc.identifier.citation | M. González, F. Hecht, and H. Varela, "A Posteriori Error Analysis for a Dual-mixed FEM for the Darcy-Forchheimer Problem", Journal of Computational and Applied Mathematics, Vol. 490, 117963, 2027, https://doi.org/10.1016/j.cam.2026.117963 | |
| dc.identifier.doi | 10.1016/j.cam.2026.117963 | |
| dc.identifier.issn | 1879-1778 | |
| dc.identifier.uri | https://hdl.handle.net/2183/49326 | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-150390OB-I00/ES/TECNICAS NUMERICAS PREDICTIVAS BASADAS EN MODELOS DE MULTIFISICA PARA LA MONITORIZACION DE ACUIFEROS | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/FPU18%2F06125/ES/ | |
| dc.relation.uri | https://doi.org/10.1016/j.cam.2026.117963 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Porous media flow | |
| dc.subject | Darcy-Forchheimer | |
| dc.subject | Finite element method | |
| dc.subject | A Posteriori error estimates | |
| dc.title | A Posteriori Error Analysis for a Dual-mixed FEM for the Darcy-Forchheimer Problem | |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 0297067b-d946-4ca7-a145-b81432bb84e1 | |
| relation.isAuthorOfPublication | 61cefc98-f05e-470b-be21-bd4056d66e81 | |
| relation.isAuthorOfPublication.latestForDiscovery | 0297067b-d946-4ca7-a145-b81432bb84e1 |
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