Uncertainty quantification and robust design optimization applied to aircraft propulsion systems | Zendy

Marco Panzeri | Zendy; Andrey Savelyev | Zendy; Kirill Anisimov | Zendy; Roberto d’Ippolito | Zendy; Artur Mirzoyan | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Uncertainty quantification and robust design optimization applied to aircraft propulsion systems

Author(s) -

Marco Panzeri,

Andrey Savelyev,

Kirill Anisimov,

Roberto d’Ippolito,

Artur Mirzoyan

Publication year - 2018

Publication title -

transportation research procedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.657

H-Index - 40

eISSN - 2352-1465

pISSN - 2352-1457

DOI - 10.1016/j.trpro.2018.02.026

Subject(s) - probabilistic logic , nacelle , robustness (evolution) , uncertainty quantification , turbofan , surrogate model , computer science , randomness , mathematical optimization , propulsion , probabilistic design , reliability (semiconductor) , robust optimization , optimization problem , multidisciplinary design optimization , systems design , reliability engineering , engineering design process , engineering , machine learning , algorithm , artificial intelligence , social science , mathematics , software engineering , multidisciplinary approach , aerospace engineering , chemistry , sociology , biochemistry , power (physics) , quantum mechanics , mechanical engineering , statistics , physics , turbine , automotive engineering , gene

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research