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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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: Andrés, Esther
Valero, Eusebio
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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A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses

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