Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition technique
- Autores
- Di Rado, Héctor Ariel; Beneyto, Pablo Alejandro; Mroginski, Javier Luis
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Fil: Di Rado, Héctor Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.
Fil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.
Fil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; 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 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. - Fuente
- Journal of Biosciences and Medicine, 2020, vol. 8, p. 73-81.
- 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
- Institución
- Universidad Nacional del Nordeste
- OAI Identificador
- oai:repositorio.unne.edu.ar:123456789/53130
Ver los metadatos del registro completo
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Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition techniqueDi Rado, Héctor ArielBeneyto, Pablo AlejandroMroginski, Javier LuisCancerTumour growthMathematical modellingStress state decomposition techniqueFil: Di Rado, Héctor Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.Fil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina.Fil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; 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 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.Scientific Research Publishing2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfp. 73-81application/pdfDi 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.2327-5081http://repositorio.unne.edu.ar/handle/123456789/53130Journal of Biosciences and Medicine, 2020, vol. 8, p. 73-81.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 Argentina2025-09-29T14:29:44Zoai:repositorio.unne.edu.ar:123456789/53130instacron: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 14:29:44.91Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) - Universidad Nacional del Nordestefalse |
dc.title.none.fl_str_mv |
Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition technique |
title |
Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition technique |
spellingShingle |
Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition technique Di Rado, Héctor Ariel Cancer Tumour growth Mathematical modelling Stress state decomposition technique |
title_short |
Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition technique |
title_full |
Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition technique |
title_fullStr |
Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition technique |
title_full_unstemmed |
Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition technique |
title_sort |
Preliminaries for a new mathematical framework for modelling tumour growth using stress state decomposition technique |
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: Di Rado, Héctor Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina. Fil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina. Fil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; 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 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. |
description |
Fil: Di Rado, Héctor Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 |
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, 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. 2327-5081 http://repositorio.unne.edu.ar/handle/123456789/53130 |
identifier_str_mv |
Di 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. 2327-5081 |
url |
http://repositorio.unne.edu.ar/handle/123456789/53130 |
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. 73-81 application/pdf |
dc.publisher.none.fl_str_mv |
Scientific Research Publishing |
publisher.none.fl_str_mv |
Scientific Research Publishing |
dc.source.none.fl_str_mv |
Journal of Biosciences and Medicine, 2020, vol. 8, p. 73-81. 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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1844621672657715200 |
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12.559606 |