4672244
doi
10.5281/zenodo.4672244
oai:zenodo.org:4672244
user-agile4
Jungo A.
CFS Engineering
Vos J.B.
CFS Engineering
Exploration of optimisation and machine learning methods in the fields of aircraft design
Riolo V.
EPFL
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Master Thesis
<p>Multi-disciplinary Analysis and Optimisation is a commonly used method in conceptual aircraft design. Combined with the power of computers an efficient tool can be developed to generate optimised or new designs for aircraft. The following report describes the implementation of two numerical tools within a conceptual design environment for the optimisation of an aircraft design and the use of surrogate models to approximate costly computations.</p>
Zenodo
2020-09-23
info:eu-repo/semantics/doctoralThesis
4672243
user-agile4
1617928042.985833
632393
md5:1ac5ff6e39538031a4173cb0edbdf853
https://zenodo.org/records/4672244/files/Vivien_Riolo_2020.pdf
public
10.5281/zenodo.4672243
isVersionOf
doi