Impact of Boundary Condition and Kinetic Parameter Uncertainties on NOx Predictions in Methane-Ai...

A Stochastic and Bayesian Inference Toolchain for Uncertainty and Risk Quantification of Rare Autoignition Events in Dry Low-Emission Premixers

S Yousefian, S Jella, P Versailles… - … for Gas Turbines …, 2022 - asmedigitalcollection.asme.org
Quantification of aleatoric uncertainties due to the inherent variabilities in operating
conditions and fuel composition is essential for designing and improving premixers in dry …
被引用次数：3 相关文章 所有 2 个版本

A Stochastic and Bayesian Inference Toolchain for Uncertainty and Risk Quantification of Rare Autoignition Events in DLE Premixers

S Yousefian, G Bourque, S Jella… - … Expo: Power for …, 2022 - asmedigitalcollection.asme.org
Quantification of aleatoric uncertainties due to the inherent variabilities in operating
conditions and fuel composition is essential for designing and improving premixers in dry …
相关文章 所有 2 个版本