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Primal-mixed finite element methods for the coupled Biot and Poisson-Nernst-Planck equations
Indexado
WoS WOS:001446918900001
Scopus SCOPUS_ID:86000525079
DOI 10.1016/J.CAMWA.2025.03.004
Año 2025
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



We propose mixed finite element methods for the coupled Biot poroelasticity and Poisson-Nernst-Planck equations (modeling ion transport in deformable porous media). For the poroelasticity, we consider a primal-mixed, four-field formulation in terms of the solid displacement, the fluid pressure, the Darcy flux, and the total pressure. In turn, the Poisson-Nernst-Planck equations are formulated in terms of the electrostatic potential, the electric field, the ionized particle concentrations, their gradients, and the total ionic fluxes. The weak formulation, posed in Banach spaces, exhibits the structure of a perturbed block-diagonal operator consisting of perturbed and generalized saddle-point problems for the Biot equations, a generalized saddle-point system for the Poisson equations, and a perturbed twofold saddle-point problem for the Nernst-Planck equations. One of the main novelties here is the well-posedness analysis, hinging on the Banach fixed-point theorem along with small data assumptions, the Babuska-Brezzi theory in Banach spaces, and a slight variant of recent abstract results for perturbed saddle-point problems, again in Banach spaces. The associated Galerkin scheme is addressed similarly, employing the Banach fixed-point theorem to yield discrete well-posedness. A priori error estimates are derived, and simple numerical examples validate the theoretical error bounds, and illustrate the performance of the proposed schemes.

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Disciplinas de Investigación



WOS
Computer Science, Interdisciplinary Applications
Mathematics, Applied
Scopus
Modeling And Simulation
Computational Mathematics
Computational Theory And Mathematics
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Gatica, Gabriel N. - Universidad de Concepción - Chile
2 Inzunza, Cristian - Universidad de Concepción - Chile
Universidad Católica de la Santísima Concepción - Chile
3 Ruiz-Baier, Ricardo - MONASH UNIV - Australia
Sechenov First Moscow State Med Univ - Rusia
Universidad Adventista de Chile - Chile
Monash University - Australia
Sechenov First Moscow State Medical University - Rusia

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Financiamiento



Fuente
Universidad de Concepción
Australian Research Council
Centro de Investigación en Ingeniería Matemática
CI 2 MA
National Computational Infrastructure
ANID-Chile
Anillo of Computational Mathematics for Desalination Processes
ANID-Chile through Centro de Modelamiento Matematico
Centro de Modelamiento Matemático, Facultad de Ciencias Físicas y Matemáticas
Centro de Investigacion en Ingenieria Matematica (CI2MA) , Universidad de Concepcion
Australian Government through the National Computational Infrastructure (NCI) under the ANU Merit Allocation Scheme (ANUMAS)

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
This work was partially supported by ANID-Chile through CENTRO DE MODELAMIENTO MATEMATICO (FB210005) , and ANILLO OF COMPUTATIONAL MATHEMATICS FOR DESALINATION PROCESSES (ACT210087) ; by Centro de Investigacion en Ingenieria Matematica (CI2MA) , Universidad de Concepcion; and by The Australian Research Council through the FUTURE FELLOWSHIP grant FT220100496 and DISCOVERY PROJECT grant DP22010316. HPC resources were funded by the Australian Government through the National Computational Infrastructure (NCI) under the ANU Merit Allocation Scheme (ANUMAS) .
This work was partially supported by ANID-Chile through Centro de Modelamiento Matem\u00E1tico (FB210005), and Anillo of Computational Mathematics for Desalination Processes (ACT210087); by Centro de Investigaci\u00F3n en Ingenier\u00EDa Matem\u00E1tica (CI 2 MA), Universidad de Concepci\u00F3n; and by the Australian Research Council through the Future Fellowship grant FT220100496 and Discovery Project grant DP22010316. HPC resources were funded by the Australian Government through the National Computational Infrastructure (NCI) under the ANU Merit Allocation Scheme (ANUMAS).

Muestra la fuente de financiamiento declarada en la publicación.