ShuaiGuo16/Data-driven-High-dimensional-UQ-Analysis
Project source code and data for uncertainty quantification on combustion instability prediction using a machine-learning-enhanced strategy
This project helps gas turbine engineers accurately and quickly assess the risk of combustion instability in new designs. By taking in uncertain flame model parameters, it outputs the probability or likelihood of instability, enabling engineers to design more reliable systems. It's intended for those who need to quantify and propagate uncertainties in complex combustion models.
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Use this if you need to efficiently calculate combustion instability risk in gas turbine designs when your flame models have many uncertain parameters.
Not ideal if your primary concern is not combustion instability or if your models do not involve high-dimensional uncertainties.
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Language
MATLAB
License
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Last pushed
Feb 02, 2021
Commits (30d)
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