On the Coupling of Reaction–Diffusion–Transport Equations With Biot's Poroelasticity Model: An Application to Meniscus Regeneration

ABSTRACT Regenerative medicine is a promising approach for the treatment of meniscus injuries. In silico experiments provide a valuable framework for optimizing such therapies by improving the understanding of both environmental effects on cell behavior and the interaction between cells and nonwoven scaffolds, which act as porous media supporting cell colonization. Based on a previously developed multiscale mathematical model; this work focuses on its numerical treatment and coupling with a poroelastic model. We describe both models in detail and discuss appropriate discretizations, as well as simulation results.

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Publication Details

Journal
PAMM
Published
2026-10-27
DOI
https://doi.org/10.1002/pamm.70256
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

On the Coupling of Reaction–Diffusion–Transport Equations With Biot's Poroelasticity Model: An Application to Meniscus Regeneration

Christina Surulescu, Jeremias Nathanael Arf, Bernd Simeon, Ahmad Hussein
PAMM
Advanced Numerical Methods in Computational Mathematics
article

On the Coupling of Reaction–Diffusion–Transport Equations With Biot's Poroelasticity Model: An Application to Meniscus Regeneration

Christina Surulescu, Jeremias Nathanael Arf, Bernd Simeon, Ahmad Hussein
article en

Abstract

ABSTRACT Regenerative medicine is a promising approach for the treatment of meniscus injuries. In silico experiments provide a valuable framework for optimizing such therapies by improving the understanding of both environmental effects on cell behavior and the interaction between cells and nonwoven scaffolds, which act as porous media supporting cell colonization. Based on a previously developed multiscale mathematical model; this work focuses on its numerical treatment and coupling with a poroelastic model. We describe both models in detail and discuss appropriate discretizations, as well as simulation results.

PAMMVol. 26(4)
University of Kaiserslautern (DE), Centro de Supercomputación de Galicia (ES), Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
European Commission, Deutsche Forschungsgemeinschaft, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 19%
Advanced Numerical Methods in Computational Mathematics
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