People
Marco Mangano
Research Interests
- Large-scale gradient-based optimization
- Multi-physics and multi-fidelity modeling of transportation and energy systems
- High-fidelity aerodynamic shape optimization
- CFD-CSM-based aerostructural optimization of wind turbines
Education
- Ph.D., Aerospace Engineering, University of Michigan, 2019 - 2023
- M.Sc., Aerospace Engineering, TU Delft, 2015 - 2019
- B.Sc., Aerospace Engineering, Universitá degli Studi di Padova, 2011 - 2014
Publications
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pyGeo: A geometry package for multidisciplinary design optimization
H. M. Hajdik, A. Yildirim, N. Wu, B. J. Brelje, S. Seraj, M. Mangano, J. L. Anibal, E. Jonsson, E. J. Adler, C. A. Mader, G. K. W. Kenway, and J. R. R. A. Martins
Journal of Open Source Software, 8(87):5319, 2023
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OpenTurbineCoDe (OTCD): An Open-Source Floating Offshore Wind Turbine Multidisciplinary Control Co-Design Optimization Framework
O. Bilgen, J. R. R. A. Martins, A. Ning, L. Burlion, A. Platt, D. Caprace, X. Du, M. Mangano, J. F. L. Muro, C. Wright, and K. Zhang
Proceedings of the NAWEA/WindTech 2022 Conference, 2022
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Incorporating High-Fidelity Aerostructural Analyses in Wind Turbine Rotor Optimization
D. Caprace, A. Cardoza, A. Ning, M. Mangano, S. He, and J. R. R. A. Martins
AIAA SciTech Forum, 2022
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Towards Passive Aeroelastic Tailoring of Large Wind Turbines Using High-Fidelity Multidisciplinary Design Optimization
M. Mangano, S. He, Y. Liao, D. Caprace, and J. R. R. A. Martins
AIAA SciTech Forum, 2022
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Multipoint Aerodynamic Shape Optimization for Subsonic and Supersonic Regimes
M. Mangano, and J. R. R. A. Martins
Journal of Aircraft, 58(3):650–662, 2021
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Multipoint Aerodynamic Shape Optimization for Subsonic and Supersonic Regimes
M. Mangano, and J. R. R. A. Martins
57th AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, 2019, 2019