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dc.contributor.authorDi Rado, Héctor Ariel
dc.contributor.authorBeneyto, Pablo Alejandro
dc.contributor.authorMroginski, Javier Luis
dc.date.accessioned2024-03-13T12:29:24Z
dc.date.available2024-03-13T12:29:24Z
dc.date.issued2020
dc.identifier.citationDi Rado, Héctor Ariel, Beneyto, Pablo Alejandro y Mroginski, Javier Luis, 2020. Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition technique. Journal of Biosciences and Medicine. Estados Unidos: Scientific Research Publishing, vol. 8, no. 2, p. 73-81. E-ISSN 2327-509X.es
dc.identifier.issn2327-5081es
dc.identifier.urihttp://repositorio.unne.edu.ar/handle/123456789/53130
dc.description.abstractThe main goal of the present paper is to present a mathematical framework for modelling tumour growth based on stress state decomposition technique (SSDT). This is a straightforward extension of the model for multi-phase non- saturated soil consolidation with pollutant transport presented by the authors and may be regarded as an alternative to classical frameworks based on TCAT theory. In this preliminary work, the Representative Volume Element (RVE) for tumour is proposed along with its comparison with the corresponding one for soils modelling developed formerly by the authors. Equations stand- ing for tumour phase are flawlessly brought into correspondence with those of gaseous phase in the soil problem showing that a similar task may be car- ried out for the remainders phases taking part in both RVEs. Furthermore, stresses induced by nonlinear saturation and permeability dependence on suction for soil interstitial fluids transport finds its counterpart on the contact between the cancer cell membrane and interstitial fluids rendering a higher primary variables coupling degree than what was attained in TCAT theory. From these preliminaries assessments, it may be put forward that likewise the stress state decomposition procedure stands for an alternative for modelling multi-phase nonsaturated soil consolidation with pollutant transport; it does for modelling cancer as well.es
dc.formatapplication/pdfes
dc.format.extentp. 73-81es
dc.language.isoenges
dc.publisherScientific Research Publishinges
dc.rightsopenAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ar/es
dc.sourceJournal of Biosciences and Medicine, 2020, vol. 8, p. 73-81.es
dc.subjectCanceres
dc.subjectTumour growthes
dc.subjectMathematical modellinges
dc.subjectStress state decomposition techniquees
dc.titlePreliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition techniquees
dc.typeArtículoes
unne.affiliationFil: Di Rado, Héctor Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.es
unne.affiliationFil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.es
unne.affiliationFil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.es
unne.journal.paisEstados Unidoses
unne.journal.volume8es
unne.ISSN-e2327-509Xes


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