Locally-Adaptive Tabulation of Low-Dimensional Manifolds using Bezier Patch Reconstruction
Abstract
An efficient tabulation strategy for turbulent combustion simulations is proposed. Using a locally adaptive
arrangement of structured Bezier patches–often used in computer graphics–the combustion manifold can be
efficiently tabulated; thus reducing the table size by over an order of magnitude while maintaining high
accuracy. A hybrid search algorithm is implemented that uses a one-step quadrant analysis followed by
a linear search to minimize the cost of the data retrieval. The present tabulation has been successfully
applied to flamelet/progress variable approach (FPVA) and trajectory generated low-dimensional manifold
(TGLDM). The error, computational size and search-and-retrieval time are quantified and compared against
classical tabulation approaches.
Cite this version of the work
Matthew X. Yao, Mohammad Mortada, Cecile Devaud, Jean-Pierre Hickey
(2017).
Locally-Adaptive Tabulation of Low-Dimensional Manifolds using Bezier Patch Reconstruction. UWSpace.
http://hdl.handle.net/10012/13901
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