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Gregory Duthé
Gregory Duthé
PhD Student, ETH Zürich
Verified email at ibk.baug.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Development of a wireless, non-intrusive, MEMS-based pressure and acoustic measurement system for large-scale operating wind turbine blades
S Barber, J Deparday, Y Marykovskiy, E Chatzi, I Abdallah, G Duthé, ...
Wind Energy Science 7 (4), 1383-1398, 2022
172022
Modeling and monitoring erosion of the leading edge of wind turbine blades
G Duthé, I Abdallah, S Barber, E Chatzi
Energies 14 (21), 7262, 2021
142021
Local flow and loads estimation on wake-affected wind turbines using graph neural networks and PyWake
G Duthé, F de Nolasco Santos, I Abdallah, PÉ Réthore, W Weijtjens, ...
Journal of Physics: Conference Series 2505 (1), 012014, 2023
12023
Graph neural networks for aerodynamic flow reconstruction from sparse sensing
G Duthé, I Abdallah, S Barber, E Chatzi
arXiv preprint arXiv:2301.03228, 2023
12023
Identifying evolving leading edge erosion by tracking clusters of lift coefficients
I Abdallah, G Duthé, S Barber, E Chatzi
Journal of Physics: Conference Series 2265 (3), 032089, 2022
12022
Aeroelastic simulations of wind turbines affected by leading edge erosion: datasets for multivariate time-series classification
G Duthé, I Abdallah, S Barber, E Chatzi
CERN, 2021
12021
Hybrid Model for Inflow Conditions Inference on Airfoils Under Uncertainty
Y Marykovskiy, J Deparday, I Abdallah, G Duthé, S Barber, E Chatzi
AIAA Journal 61 (11), 4913-4925, 2023
2023
Detecting damage via aerodynamic quantities on an aeroelastic structure
I Abdallah, G Duthé, S Gres, J Deparday, R Fäh, S Barber, E Chatzi
30th International Conference on Noise and Vibration Engineering (ISMA 2022 …, 2022
2022
Development of a freely distributable CFD tool for approximate and detailed simulations of the flow around a complex of buildings
J Decaix, P Jaboyedoff, G Duthé, E El Sergany, L Aiulfi
Journal of Physics: Conference Series 2042 (1), 012069, 2021
2021
Learning to diagnose leading edge erosion degradation on an airfoil via aerodynamic pressure coefficients
G Duthé, I Abdallah, Y Marykovskiy, S Barber, E Chatzi
3rd Wind Energy Science Conference (WESC 2021), 2021
2021
Physics-aware deep learning for wind prediction over complex terrain
G Duthé
ETH Zurich; EPFL, 2019
2019
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