Harshal Akolekar
Harshal Akolekar
Verified email at student.unimelb.edu.au
TitleCited byYear
Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines
HD Akolekar, J Weatheritt, N Hutchins, RD Sandberg, G Laskowski, ...
Journal of Turbomachinery 141 (4), 041010, 2019
62019
Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in LPTs
HD Akolekar, J Weatheritt, N Hutchins, RD Sandberg, G Laskowski, ...
ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition 2, 2018
52018
Turbulence model development using CFD-driven machine learning
Y Zhao, HD Akolekar, J Weatheritt, V Michelassi, RD Sandberg
arXiv preprint arXiv:1902.09075, 2019
32019
Development of a Simulation Program to Optimise Process Parameters of Steam Power Cycles
HD Akolekar, P Srinivasan, JS Challa
International Journal of Thermal & Environmental Engineering 8 (1), 55-61, 2014
32014
Machine-Learnt Turbulence Closures for LPTs With Unsteady Inflow Conditions
HD Akolekar, RD Sandberg, N Hutchins, V Michelassi, G Laskowski
15th ISUAAAT, Oxford, UK, Sept, 24-29, 2018
22018
Machine-Learnt Turbulence Closures for Low-Pressure Turbines With Unsteady Inflow Conditions
HD Akolekar, RD Sandberg, N Hutchins, V Michelassi, G Laskowski
Journal of Turbomachinery 141 (10), 2019
12019
CFD-ready Turbulence Models from Gene Expression Programming: Concepts
Y Zhao, HD Akolekar, RD Sandberg
Bulletin of the American Physical Society, 2019
2019
Turbulence Model Development for Low & High Pressure Turbines Using a Machine Learning Approach
HD Akolekar, Y Zhao, RD Sandberg, N Hutchins, V Michelassi
The system can't perform the operation now. Try again later.
Articles 1–8