Special Issue
Data-driven modelling and high-fidelity simulations May/2021
ORIGINAL ARTICLE
Editorial: Data-driven modelling and high-fidelity simulations
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1-2
ORIGINAL ARTICLE
Estimating RANS model uncertainty using machine learning
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1-14
ORIGINAL ARTICLE
RANS predictions of trailing-edge slot flows using heat-flux closures developed with CFD-driven machine learning
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1-13
ORIGINAL ARTICLE
Making use of our data
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1-13
ORIGINAL ARTICLE
Automated detection of hot-gas path defects by support vector machine based analysis of exhaust density fields
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1-16
ORIGINAL ARTICLE
Towards digital design of gas turbines
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1-12
REVIEW ARTICLE
A physics-informed machine learning framework for predictive maintenance applied to turbomachinery assets
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1-15
ORIGINAL ARTICLE
Calibration of Spalart-Allmaras model for simulation of corner flow separation in linear compressor cascade
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1-16