A highly parallel fully implicit domain decomposition method for the simulation of the hemodynamics of a patient-specific artery at the full-body scale
From MaRDI portal
Publication:2099763
DOI10.1016/j.jcp.2022.111730OpenAlexW4308155731MaRDI QIDQ2099763
Publication date: 18 November 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2022.111730
finite element methodincompressible Navier-Stokes equationsparallel computingdomain decomposition methodblood flow distributionpatient-specific-full-body artery
Basic methods in fluid mechanics (76Mxx) Biological fluid mechanics (76Zxx) Physiological, cellular and medical topics (92Cxx)
Uses Software
Cites Work
- A robust and accurate outflow boundary condition for incompressible flow simulations on severely-truncated unbounded domains
- Multi-scale computational model of three-dimensional hemodynamics within a deformable full-body arterial network
- Time-dependent and outflow boundary conditions for dissipative particle dynamics
- Cardiovascular flow simulation at extreme scale
- Open problems in computational vascular biomechanics: hemodynamics and arterial wall mechanics
- A scalable nonlinear fluid-structure interaction solver based on a Schwarz preconditioner with isogeometric unstructured coarse spaces in 3D
- The nested block preconditioning technique for the incompressible Navier-Stokes equations with emphasis on hemodynamic simulations
- Outflow boundary conditions for three-dimensional finite element modeling of blood flow and pressure in arteries
- Scalable parallel methods for monolithic coupling in fluid-structure interaction with application to blood flow modeling
- A Fully Implicit Domain Decomposition Algorithm for Shallow Water Equations on the Cubed-Sphere
- The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications
- Parallel One-Shot Lagrange--Newton--Krylov--Schwarz Algorithms for Shape Optimization of Steady Incompressible Flows