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An Automated High Aspect Ratio Mesher for Computational Fluid Dynamics, Phase II

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An Automated High Aspect Ratio Mesher for Computational Fluid Dynamics, Phase II
Computational fluid dynamics (CFD) simulations are routinely used while designing, analyzing, and optimizing air- and spacecraft. An important component of CFD simulations is mesh generation, or discretization into polygonal or polyhedral cells, of the domain being analyzed. The work will focus on the 3D implementation of the Phase 1 CHARM mesher, with solution-adaptive iteration for CFD and non-CFD applications. The proposed 3D method will incorporate and extend a previously developed method of generating field-guided hexahedral elements from a metric tensor field. While the fundamental technical approach -- a combination of metric tensor conditioning, metric-tracing mesher, and cell-packing mesher -- remains the same, there are many technical challenges specific to the 3D domain, including the following: - Investigation into conditioning of volume metric tensor fields - Investigation into the topology (structure) of volume metric tensor fields - Developing algorithms for the generation, repair, and adjustment of streamsurface arrangements - Developing algorithms to convert streamsurface arrangements to hex-dominant meshes - Developing algorithms to combine streamsurface- and packing-based meshes - Investigation into designing these algorithms for mesh adaptation rather than adaptive remeshing - Investigation of time and storage efficiency of these algorithms in a large-scale parallelism context In addition to the above, the goal is to generalize the solution in order to support its packaging and commercialization for a number of problem sets and target applications. This includes generalization of the solver-adaptive framework, creation of APIs to programatically expose core functions, and provide UI access to appropriately control and configure the application. More »

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