The nested block preconditioning technique for the incompressible Navier-Stokes equations with emphasis on hemodynamic simulations
Ju Liu, Weiguang Yang, Melody Dong, Alison L. Marsden

TL;DR
This paper introduces a nested block preconditioning method for solving the incompressible Navier-Stokes equations, improving robustness and efficiency in complex hemodynamic simulations involving multiscale and multiphysics coupling.
Contribution
A novel three-level nested block preconditioner is developed to enhance the solution of coupled Navier-Stokes equations with boundary conditions and reduced models.
Findings
Demonstrated robustness and efficiency in benchmark problems.
Achieved good parallel scalability in simulations.
Validated effectiveness in patient-specific hemodynamic cases.
Abstract
We develop a novel iterative solution method for the incompressible Navier-Stokes equations with boundary conditions coupled with reduced models. The iterative algorithm is designed based on the variational multiscale formulation and the generalized- scheme. The spatiotemporal discretization leads to a block structure of the resulting consistent tangent matrix in the Newton-Raphson procedure. As a generalization of the conventional block preconditioners, a three-level nested block preconditioner is introduced to attain a better representation of the Schur complement, which plays a key role in the overall algorithm robustness and efficiency. This approach provides a flexible, algorithmic way to handle the Schur complement for problems involving multiscale and multiphysics coupling. The solution method is implemented and benchmarked against experimental data from the nozzle…
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