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Locally-Adaptive Tabulation of Low-Dimensional Manifolds using Bezier Patch Reconstruction

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dc.contributor.authorYao, Matthew X.
dc.contributor.authorMortada, Mohammad
dc.contributor.authorDevaud, Cecile
dc.contributor.authorHickey, Jean-Pierre
dc.date.accessioned2018-09-21T18:25:39Z
dc.date.available2018-09-21T18:25:39Z
dc.date.issued2017-05-17
dc.description.abstractAn 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.en
dc.description.sponsorshipNSERC USRA NSERC RGPINen
dc.identifier.urihttp://hdl.handle.net/10012/13901
dc.language.isoenen
dc.titleLocally-Adaptive Tabulation of Low-Dimensional Manifolds using Bezier Patch Reconstructionen
dc.typeConference Paperen
dcterms.bibliographicCitationYao, M., et al. "Locally-Adaptive Tabulation of Low-Dimensional Manifolds using Bezier Patch Reconstruction." Proceedings of the Combustion Institute-Canadian Section; Spring Technical Meeting, Montreal, Canada. 2017.en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Mechanical and Mechatronics Engineeringen
uws.peerReviewStatusRevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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