Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Elisa Morales Tirado"'
Publikováno v:
Aerospace, Vol 9, Iss 4, p 176 (2022)
With the mandatory requirement for more efficient aircraft due to both economic and environmental purposes, academy and industry are exploring new aircraft design opportunities including the concepts of hybrid-electric and fully electric vehicles. Wi
Externí odkaz:
https://doaj.org/article/52237e62bb8d43f09be1e5068dd7b459
Publikováno v:
Optimization Under Uncertainty with Applications to Aerospace Engineering ISBN: 9783030601652
The base concepts of robust optimization are described and detailed in this chapter. In particular, the approach based on risk measurements is introduced, after a first quick review of the classical deterministic approach. In this context, the use of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e18e0ec8675daa7ab795badfc9988314
https://doi.org/10.1007/978-3-030-60166-9_13
https://doi.org/10.1007/978-3-030-60166-9_13
Publikováno v:
Flexible Engineering Toward Green Aircraft ISBN: 9783030365134
Lecture Notes in Applied and Computational Mechanics
Lecture Notes in Applied and Computational Mechanics-Flexible Engineering Toward Green Aircraft
Flexible Engineering Toward Green Aircraft-CAE Tools for Sustainable Mobility
Lecture Notes in Applied and Computational Mechanics
Lecture Notes in Applied and Computational Mechanics-Flexible Engineering Toward Green Aircraft
Flexible Engineering Toward Green Aircraft-CAE Tools for Sustainable Mobility
A Robust Design Optimization (RDO) method based on the use of Conditional Value-at-Risk (CVaR) risk measure is briefly described and applied to an aerodynamic shape design problem. The technique leads to optimal design solutions resilient to producti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::811432b37683921f9f0831bbc050b379
https://doi.org/10.1007/978-3-030-36514-1_9
https://doi.org/10.1007/978-3-030-36514-1_9
Publikováno v:
AIAA Scitech 2019 Forum
Far-field analysis for drag prediction and decomposition is here explored and applied to aerodynamic shape design problems. The work aims at illustrating how the far-field approach may allow substantial reductions of the computational effort required