Optimal Experimental Design of Furan Shock Tube Kinetic Experiments

Type
Poster
Authors
Kim, Daesang
Long, Quan cc
Bisetti, Fabrizio cc
Farooq, Aamir cc
Tempone, Raul cc
Knio, Omar cc
KAUST Department
Applied Mathematics and Computational Science Program
Chemical Kinetics & Laser Sensors Laboratory
Clean Combustion Research Center
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Mechanical Engineering Program
Physical Science and Engineering (PSE) Division
Reactive Flow Modeling Laboratory (RFML)
Stochastic Numerics Research Group
Date
2015-01-07
Permanent link to this record
http://hdl.handle.net/10754/624098

Metadata
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Abstract
A 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.
Conference/Event name
Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015)
Collections
Posters; Applied Mathematics and Computational Science Program; Physical Science and Engineering (PSE) Division; Mechanical Engineering Program; Clean Combustion Research Center; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Conference on Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015)