Multirate time-stepping least squares shadowing method for unsteady turbulent flow

ORAL

Abstract

The recently developed least squares shadowing (LSS) method reformulates unsteady turbulent flow simulations to be well-conditioned time domain boundary value problems. The reformulation can enable scalable parallel-in-time simulation of turbulent flows (Wang et al. Phys. Fluid [2013]). A LSS method with multirate time-stepping was implemented to avoid the necessity of taking small global time-steps (restricted by the largest value of the Courant number on the grid) and therefore result in a more efficient algorithm. We will present the results of the multirate time-stepping LSS compared to a single rate time-stepping LSS and discuss the computational savings.

*Hyunji Jane Bae acknowledges support from the Stanford Graduate Fellowship

Authors

  • Hyunji Jane Bae

    • Stanford
  • Parviz Moin

    • Stanford University, Center for Turbulence Research
    • Stanford Univ.
    • Center for Turbulence Research, Stanford University
    • Stanford
    • Stanford University