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Cited by 311Advanced Multi-Objective Optimization AlgorithmsProbabilistic and Robust Engineering DesignComputational Fluid Dynamics and Aerodynamics

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A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses

Yondo, Raul, Andrés, Esther, Valero, Eusebio·2018·Progress in Aerospace Sciences
DOI 10.1016/j.paerosci.2017.11.003
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Research works printed but not linked: 40

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Metadata

Authors
Yondo, R., Andrés, E., & Valero, E.
Affiliations
  • Universidad Politécnica de Madrid (ES)
  • Ingeniería de Sistemas para la Defensa de España (ES)
Corresponding author
Yondo, Raul
ORCID
Venue
Progress in Aerospace Sciences
Publisher
Elsevier BV
Published
2018-01
Volume
96
Pages
23-61
ISSN
0376-0421 (ISSN-L)
DOI
10.1016/j.paerosci.2017.11.003
OpenAlex
W2776493547
Cited by
311
References
548
Citations by year
2026: 29 · 2025: 50 · 2024: 44 · 2023: 32 · 2022: 49 · 2021: 41 · 2020: 39 · 2019: 26 · 2018: 1
FWCI
13.56
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
Progress in Aerospace Sciences (publishedVersion)
Funders
European Commission Seventh Framework Programme (FP7-PEOPLE-2013-ITN, 608087)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Multi-Objective Optimization Algorithms
  • Physical Sciences › Engineering › Computational Mechanics › Probabilistic and Robust Engineering Design
  • Physical Sciences › Engineering › Computational Mechanics › Computational Fluid Dynamics and Aerodynamics
Keywords
surrogate models, aircraft aerodynamic design, surrogate-based optimization, experimental design, sampling strategy, dimensionality reduction, sensitivity analysis, uncertainty quantification, multi-fidelity modeling, civil transport aircraft, computational complexity reduction

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