Implicit-explicit schemes for incompressible flow problems with variable viscosity
Gabriel R. Barrenechea, Ernesto Castillo, Douglas R. Q. Pacheco
TL;DR
This paper addresses stable and efficient time integration for incompressible flows with variable viscosity by developing and analyzing IMEX schemes that treat parts of the viscous term explicitly. It demonstrates that a generalised Laplacian (GL) viscous formulation yields unconditional stability for both monolithic and fractional-step schemes, enabling decoupled velocity solves even when viscosity is shear-dependent (e.g., Carreau models). The study reveals that naive stress-divergence splits can be unstable, while GL-based variants provide robust stability under realistic smoothness assumptions on the viscosity; a CFL-type condition arises for some fractional-step GL formulations but may be pessimistic in practice. Numerical experiments on temporal convergence, cavity flow, and pulsatile hemodynamics corroborate the theoretical stability results and show accurate, stable solutions for challenging variable-viscosity problems. These findings offer a pathway to efficient, stable solvers for generalized Newtonian fluids in engineering and biomedical applications.
Abstract
In this work we study different Implicit-Explicit (IMEX) schemes for incompressible flow problems with variable viscosity. Unlike most previous work on IMEX schemes, which focuses on the convective part, we here focus on treating parts of the diffusive term explicitly to reduce the coupling between the velocity components. We present different, both monolithic and fractional-step, IMEX alternatives for the variable-viscosity Navier--Stokes system, analysing their theoretical and algorithmic properties. Stability results are proven for all the methods presented, with all these results being unconditional, except for one of the discretisations using a fractional-step scheme, where a CFL condition (in terms of the problem data) is required for showing stability. Our analysis is supported by a series of numerical experiments.
