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dc.contributor.authorEirís, Antonio
dc.contributor.authorRamírez, Luis
dc.contributor.authorCouceiro, Iván
dc.contributor.authorFernández-Fidalgo, Javier
dc.contributor.authorParís, José
dc.contributor.authorNogueira, Xesús
dc.date.accessioned2023-12-29T14:01:52Z
dc.date.available2023-12-29T14:01:52Z
dc.date.issued2023
dc.identifier.citationEirís, A., Ramírez, L., Couceiro, I. et al. MLS-SPH-ALE: A Review of Meshless-FV Methods and a Unifying Formulation for Particle Discretizations. Arch Computat Methods Eng 30, 4959–4981 (2023). https://doi.org/10.1007/s11831-023-09965-2es_ES
dc.identifier.urihttp://hdl.handle.net/2183/34722
dc.descriptionOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.es_ES
dc.description.abstract[Abstract:] Mesh-based and particle methods were conceived as two different discretization strategies to solve partial differential equations. In the last two decades computational methods have diversified and a myriad of hybrid formulations that combine elements of these two approaches have been developed to solve Computational fluid dynamics problems. In this work we present a review about the meshless-FV family of methods, an analysis is carried out showing that the MLS-SPH-ALE method can be considered as a general formulation from which a set of particle-based methods can be recovered. Moreover, we show the relations between the MLS-SPH-ALE method and the finite volume method. The MLS-SPH-ALE method is a versatile particle-based method that was developed to circumvent the consistency issues of particle methods caused by the use of the kernel approximation. The MLS-SPH-ALE method is developed from the differential equation in ALE form using the partition unity property which is automatically fulfilled by the Moving Least Squares approximation.es_ES
dc.description.sponsorshipThe authors gratefully acknowledge the support provided by the [Grant PID2021-125447OB-I00] funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”, and the funds by [Grant TED2021–129805B-I00] funded by MCIN/AEI/ 10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR”. They also acknowledge the funding provided by the Xunta de Galicia (Grant #ED431C 2022/06). J. Fernández-Fidalgo acknowledges the support provided by “Ayudas para la recualificación del sistema universitario español para 2021–2023. Modalidad Margarita Salas RSU.UDC.MS20" by the Ministerio de Universidades of the Spanish Government and European Union through the NextGenerationEU funds.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2022/06es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125447OB-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021–129805B-I00es_ES
dc.relation.urihttps://doi.org/10.1007/s11831-023-09965-2es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectMesh-based methodes_ES
dc.subjectParticle methodes_ES
dc.subjectPartial differential equationses_ES
dc.subjectComputational methodses_ES
dc.subjectComputational fluid dynamics problemses_ES
dc.subjectMLS-SPH-ALE methodes_ES
dc.subjectFinite volume methodes_ES
dc.subjectKernel approximationes_ES
dc.subjectMoving Least Squares approximationes_ES
dc.titleMLS-SPH-ALE: A Review of Meshless-FV Methods and a Unifying Formulation for Particle Discretizationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleArchives of Computational Methods in Engineeringes_ES
UDC.volume30es_ES
UDC.startPage4959es_ES
UDC.endPage4981es_ES
dc.identifier.doi10.1007/s11831-023-09965-2


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