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dc.contributor.authorDi Rado, Héctor Ariel
dc.contributor.authorBeneyto, Pablo Alejandro
dc.contributor.authorMroginski, Javier Luis
dc.date.accessioned2024-07-03T10:26:38Z
dc.date.available2024-07-03T10:26:38Z
dc.date.issued2021-11-05
dc.identifier.citationDi Rado, Héctor Ariel, et al., 2021.An application of the stress state decomposition technique (Ssdt) to cancer modelling. Mecánica Computacional. Santa Fe: Asociación Argentina de Mecánica Computacional, vol. XXXVIII, no. 3, p. 67-67. E-ISSN 2591-3522.es
dc.identifier.issn2591-3522es
dc.identifier.urihttp://repositorio.unne.edu.ar/handle/123456789/54425
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 nonsaturated soil consolidation with pollutant transport presented by the authors. It may be expected as an alternative to classical frameworks based on TCAT, Thermodynamically Constrained Average Theory. In this preliminary work, only the mathematical framework for tumour phase is proposed. Equations standing for tumour phase are fl brought into correspondence with those of gaseous phase in the soil problem. From these preliminaries assessments, it may be put forward that likewise the stress state decomposition procedure stands for an alternative for TCAT.es
dc.formatapplication/pdfes
dc.format.extentp. 67-67es
dc.language.isoenges
dc.publisherAsociación Argentina de Mecánica Computacionales
dc.rightsopenAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ar/es
dc.sourceMecánica Computacional, 2011, vol. 38, p. 67-67.es
dc.subjectCanceres
dc.subjectTumour growthes
dc.subjectMathematical Modellinges
dc.subjectStress State Decomposition Techniquees
dc.titleAn application of the stress state decomposition technique (Ssdt) to cancer modellinges
dc.typeArtículoes
unne.affiliationFil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.es
unne.affiliationFil: Di Rado, Héctor Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.es
unne.affiliationFil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.es
unne.affiliationFil: Mroginski, Javier Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es
unne.journal.paisArgentinaes
unne.journal.ciudadSanta Fees
unne.journal.volumeVol. 38es
unne.journal.numberno. 3es


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