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
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