A 19-reactions H2 oxidation chemical kinetic model has been optimized with uncertainty quantification. The uncertainties of the reaction rate constant (RRC) parameters have been first estimated based on the recommended direct measurements and review works. This deterministic approach was further combined with the probabilistic treatment of RRC to decrease the uncertainty intervals and to extend the temperature validity range for RRCs with the highest uncertainty level, for which two quantities, discrepancy measures and uncertainty contributions, were introduced in the developed framework. Monte Carlo simulations with randomly sampled RRCs and polynomial regression were performed to develop the response surface with high coefficients of determination to be utilized in the model optimization procedure.10 key channels were selected for further optimization, and the probability density functions were calculated on the basis of discrepancy measures for 4 channels to reduce their large uncertainty intervals. The training set was collected from carefully validated measured data following experiments of shock tubes, rapid compression machines, jet stirred reactors, plug flow reactors, and premixed laminar flames. Inconsistent experimental targets were fixed and excluded from considerations. The optimized chemical kinetic model demonstrates good predicting ability for the H2 combustion experimental data from both the training set and the conditions outside the tested range (blind modeling).
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