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Asymptotic analysis of a biphase tumor fluid flow: the weak coupling case.

hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorVAGHI, Cristina
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
hal.structure.identifierMéthodes computationnelles pour la prise en charge thérapeutique en oncologie : Optimisation des stratégies par modélisation mécaniste et statistique [COMPO]
dc.contributor.authorBENZEKRY, Sébastien
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorPOIGNARD, Clair
dc.date.accessioned2024-04-04T02:45:31Z
dc.date.available2024-04-04T02:45:31Z
dc.date.issued2022-01-15
dc.identifier.issn0096-3003
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191476
dc.description.abstractEnThe aim of this paper is to investigate the asymptotic behavior of a biphase tumor fluid flow derived by 2-scale homogenisation techniques in recent works. This biphase fluid flow model accounts for the capillary wall permeability, and the interstitial avascular phase, both being mixed in the limit homogenised problem. When the vessel walls become more permeable, we show that the biphase fluid flow exhibits a boundary layer that makes the computation of the full problem costly and unstable. In the limit, both capillary and interstitial pressures coincide except in the vicinity of the boundary where different boundary conditions are applied. Thanks to a rigorous asymptotic analysis, we prove that the solution to the full problem can be approached at any order of approximation by a monophasic model with appropriate boundary conditions on the tumor boundary and appropriate correcting terms near the boundary are given. Numerical simulations in spherical geometry illustrate the theoretical results.
dc.language.isoen
dc.publisherElsevier
dc.title.enAsymptotic analysis of a biphase tumor fluid flow: the weak coupling case.
dc.typeArticle de revue
dc.identifier.doi10.1016/j.amc.2021.126635
dc.subject.halInformatique [cs]/Modélisation et simulation
dc.subject.halSciences du Vivant [q-bio]/Cancer
dc.subject.halPhysique [physics]/Physique [physics]/Analyse de données, Statistiques et Probabilités [physics.data-an]
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologie
dc.subject.halSciences du Vivant [q-bio]/Sciences pharmaceutiques/Pharmacologie
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.identifier.arxiv2101.03400
bordeaux.journalApplied Mathematics and Computation
bordeaux.page126635
bordeaux.volume413
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03354766
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03354766v1
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