Multi-fidelity Surrogate Assisted Design Optimisation of an Airfoil under Uncertainty Using Far-Field Drag Approximation-Reference-Cited by-同舟云学术

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Multi-fidelity Surrogate Assisted Design Optimisation of an Airfoil under Uncertainty Using Far-Field Drag Approximation

Published:2021 Issue: Volume: Page:35-53
ISSN:1389-1766
Container-title:Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications
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Author:

Morales Elisa^ORCID,Korondi Péter Zénó^ORCID,Quagliarella Domenico^ORCID,Tognaccini Renato^ORCID,Marchi Mariapia^ORCID,Parussini Lucia^ORCID,Poloni Carlo^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-80542-5_3

Reference19 articles.

1. Acerbi, C., Tasche, D.: Expected shortfall: a natural coherent alternative to value at risk. Econ. Notes 31(2), 379–388 (2002). https://doi.org/10.1111/1468-0300.00091

2. Arizmendi, B., Bellosta, T., del Val, A.I., Gori, G., Prazeres, M.O., Reis, J.: On real-time management of on-board ice protection systems by means of machine learning. In: AIAA Aviation 2019 Forum, p. 3464 (2019)

3. Construct2d. https://sourceforge.net/projects/construct2d/

4. Economon, T.D., Palacios, F., Copeland, S.R., Lukaczyk, T.W., Alonso, J.J.: SU2: an open-source suite for multiphysics simulation and design. AIAA J. 54(3), 828–846 (2016). https://doi.org/10.2514/1.J053813

5. Fan, Y., Li, W.: Review of far-field drag decomposition methods for aircraft design. J. Aircr. 56(1), 11–21 (2019)

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