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A Posteriori Error Analysis for a Coupled Stokes-Poroelastic System with Multiple Compartments.
Ivan Fumagalli1, Nicola Parolini1, Marco Verani1
1MOX, Dipartimento di Matematica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy.
This study develops a posteriori error estimates for complex brain fluid-poromechanics models. This work aims to reduce computational demands for multiphysics flow simulations in the brain.
Area of Science:
- Computational fluid dynamics
- Biomedical engineering
- Mathematical modeling
Background:
- Fluid-poromechanics systems, especially for brain multiphysics flows, require significant computational resources due to complex anatomy and numerous variables.
- Modeling these systems involves coupled Stokes equations for cerebrospinal fluid and Multiple-network Poro-Elasticity (MPE) equations for brain tissue and vascular networks.
Purpose of the Study:
- To derive rigorous a posteriori error estimates for the coupled Stokes-MPE problem.
- To lay the groundwork for adaptive mesh refinement and reduced-order modeling strategies.
- To decrease the computational burden of simulating brain fluid dynamics.
Main Methods:
- Derivation of a posteriori error estimators for the coupled Stokes-MPE system.
- Numerical experiments to validate the proposed estimators.
- Analysis of the contribution of different solution variables to the error estimation.
Main Results:
- Reliability and optimal efficiency of the developed a posteriori error estimator were confirmed through numerical experiments.
- The influence of various solution variables on the estimator's composition was identified.
Conclusions:
- The derived a posteriori error estimates are reliable and efficient for coupled Stokes-MPE problems.
- This work provides a foundation for developing more computationally efficient models for brain fluid-poromechanics.
- Understanding variable contributions aids in optimizing simulation strategies.
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