Augmented saddle point formulation of the steady-state Stefan-Maxwell diffusion problem

We investigate structure-preserving finite element discretizations of the steady-state Stefan–Maxwell diffusion problem, which governs mass transport within a phase consisting of multiple species. An approach inspired by augmented Lagrangian methods allows us to construct a symmetric positive defini...

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Main Authors: Van-Brunt, A, Farrell, PE, Monroe, CW
Format: Journal article
Language:English
Published: Oxford University Press 2021
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author Van-Brunt, A
Farrell, PE
Monroe, CW
author_facet Van-Brunt, A
Farrell, PE
Monroe, CW
author_sort Van-Brunt, A
collection OXFORD
description We investigate structure-preserving finite element discretizations of the steady-state Stefan–Maxwell diffusion problem, which governs mass transport within a phase consisting of multiple species. An approach inspired by augmented Lagrangian methods allows us to construct a symmetric positive definite augmented Onsager transport matrix, which in turn leads to an effective numerical algorithm. We prove inf-sup conditions for the continuous and discrete linearized systems and obtain error estimates for a phase consisting of an arbitrary number of species. The discretization preserves the thermodynamically fundamental Gibbs–Duhem equation to machine precision independent of mesh size. The results are illustrated with numerical examples, including an application to modelling the diffusion of oxygen, carbon dioxide, water vapour and nitrogen in the lungs.
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spelling oxford-uuid:daf378f6-18b3-4988-a09c-d0d353fb10462023-04-04T12:07:51ZAugmented saddle point formulation of the steady-state Stefan-Maxwell diffusion problemJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:daf378f6-18b3-4988-a09c-d0d353fb1046EnglishSymplectic ElementsOxford University Press2021Van-Brunt, AFarrell, PEMonroe, CWWe investigate structure-preserving finite element discretizations of the steady-state Stefan–Maxwell diffusion problem, which governs mass transport within a phase consisting of multiple species. An approach inspired by augmented Lagrangian methods allows us to construct a symmetric positive definite augmented Onsager transport matrix, which in turn leads to an effective numerical algorithm. We prove inf-sup conditions for the continuous and discrete linearized systems and obtain error estimates for a phase consisting of an arbitrary number of species. The discretization preserves the thermodynamically fundamental Gibbs–Duhem equation to machine precision independent of mesh size. The results are illustrated with numerical examples, including an application to modelling the diffusion of oxygen, carbon dioxide, water vapour and nitrogen in the lungs.
spellingShingle Van-Brunt, A
Farrell, PE
Monroe, CW
Augmented saddle point formulation of the steady-state Stefan-Maxwell diffusion problem
title Augmented saddle point formulation of the steady-state Stefan-Maxwell diffusion problem
title_full Augmented saddle point formulation of the steady-state Stefan-Maxwell diffusion problem
title_fullStr Augmented saddle point formulation of the steady-state Stefan-Maxwell diffusion problem
title_full_unstemmed Augmented saddle point formulation of the steady-state Stefan-Maxwell diffusion problem
title_short Augmented saddle point formulation of the steady-state Stefan-Maxwell diffusion problem
title_sort augmented saddle point formulation of the steady state stefan maxwell diffusion problem
work_keys_str_mv AT vanbrunta augmentedsaddlepointformulationofthesteadystatestefanmaxwelldiffusionproblem
AT farrellpe augmentedsaddlepointformulationofthesteadystatestefanmaxwelldiffusionproblem
AT monroecw augmentedsaddlepointformulationofthesteadystatestefanmaxwelldiffusionproblem