Data-driven Aeroelastic Modeling
Data-Driven Aeroelastic Modeling is a computational modeling approach within aeroelastic response prediction that, unlike traditional physics-based methods, leverages empirical data and statistical learning techniques to directly identify or reconstruct the dynamic aeroelastic system behavior without explicit formulation of underlying physical equations.
20
Publications
902
Citations
66
Authors
31
Institutions
Publications per year
2017–2026
16
20
1–5 of 20
66
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31

Northwestern Polytechnical University
Xi'an, China
3 h-index
7 publications
1.1K citations
University of Washington
Seattle, United States
3 h-index
6 publications
194 citations
University of South Carolina
Columbia, United States
2 h-index
5 publications
80 citations
CFD Research Corporation (United States)
Huntsville, United States
2 h-index
4 publications
64 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
1 h-index
2 publications
32 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
1 h-index
1 publications
16 citations
Humboldt-Universität zu Berlin
Berlin, Germany
1 h-index
1 publications
84 citations
Huaneng Clean Energy Research Institute
Beijing, China
1 h-index
1 publications
15 citations
1–8 of 31
3 publications · 54 citations
3
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1 publications · 37 citations
1
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1 publications · 73 citations
1
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1 publications · 23 citations
1
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1 publications · 22 citations
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