Skeletal Reaction Model Generation, Uncertainty Quantification and Minimization: Combustion of Butane
Yuxuan Xin, David Sheen, Hai Wang, Chung K. Law
Skeletal reaction models for n-butane and iso-butane combustion are derived from the detailed chemistry model of USC Mech II through directed relation graph (DRG) and DRG aided sensitivity analysis (DRGASA) methods. It is shown that the accuracy of the reduced models can be improved by optimization through the method of uncertainty minimization by polynomial chaos expansion (MUM-PCE). The dependence of model uncertainty on the model size is also investigated by exploring skeletal models containing different number of species. It is shown that the dependence of model uncertainty is subject to the completeness of model. In the case of a complete model, the uncertainty must increase with model size, while an incomplete model may display behavior that is impossible to predict.
, Sheen, D.
, Wang, H.
and Law, C.
Skeletal Reaction Model Generation, Uncertainty Quantification and Minimization: Combustion of Butane, Combustion and Flame, [online], https://doi.org/10.1016/j.combustflame.2014.07.0
(Accessed February 20, 2024)