The gradient augmented level set method (GALSM) improves upon the classical level set method by evolving both the level set function and its gradient values in a fully coupled fashion. Advantages include high-order accuracy, reduced volume loss, sub-grid resolution of the interface, and an optimally local advection scheme. Our previous work introduced a narrow-band reinitialization procedure for the GALSM, which was successfully coupled with a simple multiphase Navier-Stokes solver to represent the free surface between water and air. Our ongoing work seeks to couple the GALSM with higher-order numerical methods for the solution of a variety of problems, including the heat equation, Stokes flow, and the Stefan problem in an adaptive mesh refinement (AMR) framework. Preliminary results and ongoing work are presented.
High-order Moving Boundary Problems With Adaptive Mesh Refinement
Presenter:
Curtis
Lee
Profile Link:
University:
Duke University
Program:
CSGF
Year:
2014