In-event surrogate model training for regional transmission tower-line system dynamic responses prediction in realistic hurricane wind fields
| Autor(en): |
Xiao Zhu
(Department of Civil & Coastal Engineering, Engineering School of Sustainable Infrastructure & Environment, University of Florida, Gainesville, Florida, USA)
Ge Ou (Department of Civil & Coastal Engineering, Engineering School of Sustainable Infrastructure & Environment, University of Florida, Gainesville, Florida, USA) Zhaoxia Pu (Department of Atmospheric Sciences, University of Utah, Salt Lake City, Utah, USA) Xin Li (Department of Atmospheric Sciences, University of Utah, Salt Lake City, Utah, USA) Jiayue Xue (Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, Utah, USA) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structure and Infrastructure Engineering |
| Seite(n): | 1-21 |
| DOI: | 10.1080/15732479.2024.2345853 |
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Datenseite - Reference-ID
10769935 - Veröffentlicht am:
29.04.2024 - Geändert am:
29.04.2024
Structurae kooperiert mit
