An application of the stress state decomposition technique (Ssdt) to cancer modelling

Autores
Di Rado, Héctor Ariel; Beneyto, Pablo Alejandro; Mroginski, Javier Luis
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.
Fil: Di Rado, Héctor Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.
Fil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.
Fil: Mroginski, Javier Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
The 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.
Fuente
Mecánica Computacional, 2011, vol. 38, p. 67-67.
Materia
Cancer
Tumour growth
Mathematical Modelling
Stress State Decomposition Technique
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
Institución
Universidad Nacional del Nordeste
OAI Identificador
oai:repositorio.unne.edu.ar:123456789/54425

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network_acronym_str RIUNNE
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network_name_str Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
spelling An application of the stress state decomposition technique (Ssdt) to cancer modellingDi Rado, Héctor ArielBeneyto, Pablo AlejandroMroginski, Javier LuisCancerTumour growthMathematical ModellingStress State Decomposition TechniqueFil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.Fil: Di Rado, Héctor Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.Fil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.Fil: Mroginski, Javier Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.The 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.Asociación Argentina de Mecánica Computacional2021-11-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfp. 67-67application/pdfDi 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 2591-3522.2591-3522http://repositorio.unne.edu.ar/handle/123456789/54425Mecánica Computacional, 2011, vol. 38, p. 67-67.reponame:Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)instname:Universidad Nacional del Nordesteenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/2.5/ar/Atribución-NoComercial-SinDerivadas 2.5 Argentina2025-09-29T14:30:31Zoai:repositorio.unne.edu.ar:123456789/54425instacron:UNNEInstitucionalhttp://repositorio.unne.edu.ar/Universidad públicaNo correspondehttp://repositorio.unne.edu.ar/oaiososa@bib.unne.edu.ar;sergio.alegria@unne.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:48712025-09-29 14:30:32.161Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) - Universidad Nacional del Nordestefalse
dc.title.none.fl_str_mv An application of the stress state decomposition technique (Ssdt) to cancer modelling
title An application of the stress state decomposition technique (Ssdt) to cancer modelling
spellingShingle An application of the stress state decomposition technique (Ssdt) to cancer modelling
Di Rado, Héctor Ariel
Cancer
Tumour growth
Mathematical Modelling
Stress State Decomposition Technique
title_short An application of the stress state decomposition technique (Ssdt) to cancer modelling
title_full An application of the stress state decomposition technique (Ssdt) to cancer modelling
title_fullStr An application of the stress state decomposition technique (Ssdt) to cancer modelling
title_full_unstemmed An application of the stress state decomposition technique (Ssdt) to cancer modelling
title_sort An application of the stress state decomposition technique (Ssdt) to cancer modelling
dc.creator.none.fl_str_mv Di Rado, Héctor Ariel
Beneyto, Pablo Alejandro
Mroginski, Javier Luis
author Di Rado, Héctor Ariel
author_facet Di Rado, Héctor Ariel
Beneyto, Pablo Alejandro
Mroginski, Javier Luis
author_role author
author2 Beneyto, Pablo Alejandro
Mroginski, Javier Luis
author2_role author
author
dc.subject.none.fl_str_mv Cancer
Tumour growth
Mathematical Modelling
Stress State Decomposition Technique
topic Cancer
Tumour growth
Mathematical Modelling
Stress State Decomposition Technique
dc.description.none.fl_txt_mv Fil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.
Fil: Di Rado, Héctor Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.
Fil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.
Fil: Mroginski, Javier Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
The 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.
description Fil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv Di 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.
2591-3522
http://repositorio.unne.edu.ar/handle/123456789/54425
identifier_str_mv Di 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.
2591-3522
url http://repositorio.unne.edu.ar/handle/123456789/54425
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Atribución-NoComercial-SinDerivadas 2.5 Argentina
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Atribución-NoComercial-SinDerivadas 2.5 Argentina
dc.format.none.fl_str_mv application/pdf
p. 67-67
application/pdf
dc.publisher.none.fl_str_mv Asociación Argentina de Mecánica Computacional
publisher.none.fl_str_mv Asociación Argentina de Mecánica Computacional
dc.source.none.fl_str_mv Mecánica Computacional, 2011, vol. 38, p. 67-67.
reponame:Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
instname:Universidad Nacional del Nordeste
reponame_str Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
collection Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
instname_str Universidad Nacional del Nordeste
repository.name.fl_str_mv Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) - Universidad Nacional del Nordeste
repository.mail.fl_str_mv ososa@bib.unne.edu.ar;sergio.alegria@unne.edu.ar
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