Speaker: James Burton, University of Arkansas | Department of Mathematical Sciences
Date: Wednesday, October 4, 2023, 4:20 – 4:40 PM
Location: Science Engineering Hall (SCEN 408)
Title: Block-structured, adaptive mesh refinement in the front-tracking method for numerical simulation of fluid instabilities
Abstract:
Front-tracking is an adaptive numerical approach that explicitly tracks the interface between distinct mediums as a hypersurface moving through a rectangular grid, providing sharp resolution of the wavefront and preventing unwanted mixing between neighboring cells of different materials. The increased accuracy front-tracking comes at a computational cost, which can be mitigated through adaptive mesh refinement by refining in areas of complex structures and vorticities, and coarsening in smoother areas.The front-tracking based software library FronTier has been used in validation and verification of turbulence mixing due to hydrodynamic instabilities. Richtmyer-Meshkov instability of an air/SF6 interface simulation is used as a test-case in implementing the block-structured, adaptive mesh refinement library AMReX to reduce the computational costs and increase accuracy in regions with complex mixing structure.
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