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Gas Turbine Performance via GPR by Kerem Kızılboğa is a document available to read on EtoBox.
This thesis presents a transient simulation tool for predicting gas turbine engine performance using Gaussian Process Regression (GPR). It details the development of a transient code based on a component-matching algorithm, which significantly reduces convergence time and eliminates the need for extensive calibration. The new code
- Author
- Kerem Kızılboğa
- Language
- EN