| Abstract: |
| Energy stability plays a fundamental role in the design of reliable numerical methods for incompressible flow problems. In this talk, we present a unified framework for constructing energy-stable schemes across a range of challenging settings, including variable-density Navier-Stokes flows, high-order time discretizations, two-phase flows with surface tension, and fluid-solid interaction.
Our approach is based on discrete energy laws that guarantee non-increasing total mechanical energy at the fully discrete level. Key ingredients include reformulations of the governing equations using suitable state variables, structure-preserving discretizations that mimic integration-by-parts on staggered grids, and both implicit and explicit time integration strategies with provable stability properties. In particular, we develop schemes that are conditionally or unconditionally energy stable while achieving improved accuracy, including second-order convergence.
We further extend these ideas to adaptive grid frameworks for complex geometries and multiscale interactions, where consistent projections across grid interfaces preserve stability. Numerical experiments demonstrate that the proposed methods achieve robustness and efficiency across diverse incompressible flow regimes, highlighting the central role of energy stability in modern computational fluid dynamics. |
|