Exploration of optimisation and machine learning methods in the fields of aircraft design

descriptionPublicationkeyboard_double_arrow_right Thesis , Doctoral thesis , Other literature type 01 Jan 2020Publisher:ZenodoFunded by:EC | AGILE 4.0

Authors: V. Riolo;

doi: 10.5281/zenodo.4672243 , 10.5281/zenodo.4672244

Exploration of optimisation and machine learning methods in the fields of aircraft design

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Abstract

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.

Related Organizations

École Polytechnique Fédérale de Lausanne EPFL
Switzerland

Keywords

Master Thesis

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