High-Lift Devices Topology Robust Optimisation Using Machine Learning Assisted Optimisation-Reference-Cited by-同舟云学术

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High-Lift Devices Topology Robust Optimisation Using Machine Learning Assisted Optimisation

Published:2021 Issue: Volume: Page:297-313
ISSN:1389-1766
Container-title:Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications
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Author:

Gentile Lorenzo^ORCID,Morales Elisa^ORCID,Zaefferer Martin^ORCID,Minisci Edmondo^ORCID,Quagliarella Domenico^ORCID,Bartz-Beielstein Thomas^ORCID,Tognaccini Renato^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-80542-5_18

Reference26 articles.

1. Atkinson, K.E.: An Introduction to Numerical Analysis. Wiley, Hoboken (2008)

2. Chin, V., Peters, D., Spaid, F., Mcghee, R.: Flowfield measurements about a multi-element airfoil at high Reynolds numbers. In: 23rd Fluid Dynamics, Plasmadynamics, and Lasers Conference, p. 3137 (1993)

3. 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

4. Forrester, A., Sobester, A., Keane, A.: Engineering Design via Surrogate Modelling: A Practical Guide. Wiley, Hoboken (2008)

5. Gentile, L.: LorenzoGentile/SCGA: SCGA second release. Update (Jan 2020). https://doi.org/10.5281/zenodo.3627555

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