Quinpi: Integrating stiff hyperbolic systems with implicit high order finite volume schemes
Gabriella Puppo, Matteo Semplice, Giuseppe Visconti
TL;DR
This work extends the Quinpi framework to stiff hyperbolic systems by combining a third-order space-time fully implicit discretization (CWENOZ reconstruction without ghost cells and a DIRK time integrator) with a predictor-corrector scheme that freezes nonlinear reconstruction weights, producing an effectively linear high-order implicit method for hyperbolic conservation laws. A flux-centered conservative time-limiting procedure based on numerical entropy production indicators (MOOD-inspired) detects troubled cells and replaces high-order fluxes with low-order fluxes to preserve conservation while suppressing oscillations. Numerical experiments on Euler gas dynamics, low-Mach, and scalar problems demonstrate that Quinpi achieves third-order accuracy on smooth regimes, robustly handles stiffness, and effectively limits time oscillations, enabling larger time steps focused on material wave propagation. The framework is problem-agnostic, mass-conserving, and supports future extensions to higher order and more efficient linear solvers, broadening the applicability of implicit high-order methods for stiff hyperbolic systems.
Abstract
Many interesting physical problems described by systems of hyperbolic conservation laws are stiff, and thus impose a very small time-step because of the restrictive CFL stability condition. In this case, one can exploit the superior stability properties of implicit time integration which allows to choose the time-step only from accuracy requirements, and thus avoid the use of small time-steps. We discuss an efficient framework to devise high order implicit schemes for stiff hyperbolic systems without tailoring it to a specific problem. The nonlinearity of high order schemes, due to space- and time-limiting procedures which control nonphysical oscillations, makes the implicit time integration difficult, e.g.~because the discrete system is nonlinear also on linear problems. This nonlinearity of the scheme is circumvented as proposed in (Puppo et al., Comm.~Appl.~Math.~\& Comput., 2023) for scalar conservation laws, where a first order implicit predictor is computed to freeze the nonlinear coefficients of the essentially non-oscillatory space reconstruction, and also to assist limiting in time. In addition, we propose a novel conservative flux-centered a-posteriori time-limiting procedure using numerical entropy indicators to detect troubled cells. The numerical tests involve classical and artificially devised stiff problems using the Euler's system of gas-dynamics.
