Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth

In this work we consider the discretization of a recently formulated (Collis et al., [22]) multiscale model for drug- and nutrient-limited tumour growth. The key contribution of this work is the proposal of a discontinuous Galerkin finite element scheme which incorporates a non-standard coupling acr...

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Main Authors: Collis, Joe, Hubbard, Matthew E., O'Dea, Reuben D.
Format: Article
Published: Elsevier 2016
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Online Access:https://eprints.nottingham.ac.uk/35156/
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author Collis, Joe
Hubbard, Matthew E.
O'Dea, Reuben D.
author_facet Collis, Joe
Hubbard, Matthew E.
O'Dea, Reuben D.
author_sort Collis, Joe
building Nottingham Research Data Repository
collection Online Access
description In this work we consider the discretization of a recently formulated (Collis et al., [22]) multiscale model for drug- and nutrient-limited tumour growth. The key contribution of this work is the proposal of a discontinuous Galerkin finite element scheme which incorporates a non-standard coupling across a singular surface, and the presentation of full details of a suitable discretization for the coupled flow and transport systems, such as that arising in Collis et al. [22] and other similar works. We demonstrate the application of the proposed discretizations via representative numerical experiments; furthermore, we present a short numerical study of convergence for the proposed microscale scheme, in which we observe optimal rates of convergence for sufficiently smooth data.
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spelling nottingham-351562020-05-04T18:04:09Z https://eprints.nottingham.ac.uk/35156/ Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth Collis, Joe Hubbard, Matthew E. O'Dea, Reuben D. In this work we consider the discretization of a recently formulated (Collis et al., [22]) multiscale model for drug- and nutrient-limited tumour growth. The key contribution of this work is the proposal of a discontinuous Galerkin finite element scheme which incorporates a non-standard coupling across a singular surface, and the presentation of full details of a suitable discretization for the coupled flow and transport systems, such as that arising in Collis et al. [22] and other similar works. We demonstrate the application of the proposed discretizations via representative numerical experiments; furthermore, we present a short numerical study of convergence for the proposed microscale scheme, in which we observe optimal rates of convergence for sufficiently smooth data. Elsevier 2016-09-01 Article PeerReviewed Collis, Joe, Hubbard, Matthew E. and O'Dea, Reuben D. (2016) Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth. Computer Methods in Applied Mechanics and Engineering, 309 . pp. 554-578. ISSN 1879-2138 Numerical simulations; Finite elements; Porous media; Cancer modelling http://www.sciencedirect.com/science/article/pii/S0045782516305746 doi:10.1016/j.cma.2016.06.015 doi:10.1016/j.cma.2016.06.015
spellingShingle Numerical simulations; Finite elements; Porous media; Cancer modelling
Collis, Joe
Hubbard, Matthew E.
O'Dea, Reuben D.
Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth
title Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth
title_full Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth
title_fullStr Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth
title_full_unstemmed Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth
title_short Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth
title_sort computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth
topic Numerical simulations; Finite elements; Porous media; Cancer modelling
url https://eprints.nottingham.ac.uk/35156/
https://eprints.nottingham.ac.uk/35156/
https://eprints.nottingham.ac.uk/35156/