The application of high-order spectral/hp element discontinuous Galerkin (DG)
methods to unsteady compressible flow simulations has gained increasing popularity.
However, the time step is seriously restricted when high-order methods are applied
to an explicit solver. To eliminate this restriction, an implicit high-order compressible flow solver is developed using DG methods for spatial discretization, diagonally
implicit Runge-Kutta methods for temporal discretization, and the Jacobian-free
Newton-Krylov method as its nonlinear solver. To accelerate convergence, a block
relaxed Jacobi preconditioner is partially matrix-free implementation with a hybrid
calculation of analytical and numerical Jacobian.The problem of too many user-defined parameters within the implicit solver is
then studied. A systematic framework of adaptive strategies is designed to relax the
difficulty of parameter choices. The adaptive time-stepping strategy is based on the
observation that in a fixed mesh simulation, when the total error is dominated by the
spatial error, further decreasing of temporal error through decreasing the time step
cannot help increase accuracy but only slow down the solver. Based on a similar
error analysis, an adaptive Newton tolerance is proposed based on the idea that
the iterative error should be smaller than the temporal error to guarantee temporal
accuracy. An adaptive strategy to update the preconditioner based on the Krylov
solver’s convergence state is also discussed. Finally, an adaptive implicit solver is
developed that eliminates the need for repeated tests of tunning parameters, whose
accuracy and efficiency are verified in various steady/unsteady simulations. An improved shock-capturing strategy is also proposed when the implicit solver
is applied to high-speed simulations. Through comparisons among the forms of
three popular artificial viscosities, we identify the importance of the density term
and add density-related terms on the original bulk-stress based artificial viscosity.
To stabilize the simulations involving strong shear layers, we design an extra shearstress based artificial viscosity. The new shock-capturing strategy helps dissipate
oscillations at shocks but has negligible dissipation in smooth regions.Open Acces
