Uncertainty quantification and model reduction of combustion kinetics using sparse polynomial chaos and the method waypoint sensitivities
Quantification of prediction uncertainties is requisite for the development of truly predictive combustion models. Parameter uncertainties, such as those associated with reaction rate coefficients, give to combustion quantities of interest, such as ignition delay, that are uncertain. Without uncerta...
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| Formato: | Thesis |
| Idioma: | English |
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