A computational framework for pharmaco-mechanical interactions in arterial walls using parallel monolithic domain decomposition methods

Journal Article (2024)
Authors

D. Balzani (Center for Interface-Dominated High Performance Materials)

Alexander Heinlein (TU Delft - Numerical Analysis, TU Delft - Delft Institute of Applied Mathematics)

Axel Klawonn (University of Cologne)

Jascha Knepper (University of Cologne)

Sharan Nurani Ramesh (Center for Interface-Dominated High Performance Materials)

Oliver Rheinbach (University of Technology Bergakademie Freiberg)

Lea Saßmannshausen (University of Cologne)

Klemens Uhlmann (Center for Interface-Dominated High Performance Materials)

Research Group
Numerical Analysis
Copyright
© 2024 Daniel Balzani, A. Heinlein, Axel Klawonn, Jascha Knepper, Sharan Nurani Ramesh, Oliver Rheinbach, Lea Saßmannshausen, Klemens Uhlmann
To reference this document use:
https://doi.org/10.1002/gamm.202370002
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 Daniel Balzani, A. Heinlein, Axel Klawonn, Jascha Knepper, Sharan Nurani Ramesh, Oliver Rheinbach, Lea Saßmannshausen, Klemens Uhlmann
Research Group
Numerical Analysis
Issue number
1
Volume number
47
DOI:
https://doi.org/10.1002/gamm.202370002
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Abstract

A computational framework is presented to numerically simulate the effects of antihypertensive drugs, in particular calcium channel blockers, on the mechanical response of arterial walls. A stretch-dependent smooth muscle model by Uhlmann and Balzani is modified to describe the interaction of pharmacological drugs and the inhibition of smooth muscle activation. The coupled deformation-diffusion problem is then solved using the finite element software FEDDLib and overlapping Schwarz preconditioners from the Trilinos package FROSch. These preconditioners include highly scalable parallel GDSW (generalized Dryja–Smith–Widlund) and RGDSW (reduced GDSW) preconditioners. Simulation results show the expected increase in the lumen diameter of an idealized artery due to the drug-induced reduction of smooth muscle contraction, as well as a decrease in the rate of arterial contraction in the presence of calcium channel blockers. Strong and weak parallel scalability of the resulting computational implementation are also analyzed.