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dc.contributor.authorKim, Daesang
dc.contributor.authorLong, Quan
dc.contributor.authorBisetti, Fabrizio
dc.contributor.authorFarooq, Aamir
dc.contributor.authorTempone, Raul
dc.contributor.authorKnio, Omar
dc.date.accessioned2017-06-05T08:35:48Z
dc.date.available2017-06-05T08:35:48Z
dc.date.issued2015-01-07
dc.identifier.urihttp://hdl.handle.net/10754/624098
dc.description.abstractA Bayesian optimal experimental design methodology has been developed and applied to refine the rate coefficients of elementary reactions in Furan combustion. Furans are considered as potential renewable fuels. We focus on the Arrhenius rates of Furan + OH ↔ Furyl-2 + H2O and Furan ↔ OH Furyl-3 + H2O, and rely on the OH consumption rate as experimental observable. A polynomial chaos surrogate is first constructed using an adaptive pseudo-spectral projection algorithm. The PC surrogate is then exploited in conjunction with a fast estimation of the expected information gain in order to determine the optimal design in the space of initial temperatures and OH concentrations.
dc.titleOptimal Experimental Design of Furan Shock Tube Kinetic Experiments
dc.typePoster
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentChemical Kinetics & Laser Sensors Laboratory
dc.contributor.departmentClean Combustion Research Center
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentReactive Flow Modeling Laboratory (RFML)
dc.contributor.departmentStochastic Numerics Research Group
dc.conference.dateJanuary 6-9, 2015
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015)
dc.conference.locationKAUST
kaust.personKim, Daesang
kaust.personLong, Quan
kaust.personBisetti, Fabrizio
kaust.personFarooq, Aamir
kaust.personTempone, Raul
kaust.personKnio, Omar
refterms.dateFOA2018-06-14T08:25:20Z


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