Stay cable tension estimation of cable‐stayed bridge under limited information on cable properties using artificial neural networks
Autor(en): |
Luu Xuan Le
(Department of Urban Innovation Yokohama National University Yokohama Japan)
Dionysius M. Siringoringo (Institute of Advanced Sciences Yokohama National University Yokohama Japan) Hiroshi Katsuchi (Department of Urban Innovation Yokohama National University Yokohama Japan) Yozo Fujino (Institute of Advanced Sciences Yokohama National University Yokohama Japan) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Control and Health Monitoring, 13 September 2022, n. 10, v. 29 |
DOI: | 10.1002/stc.3015 |
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Datenseite - Reference-ID
10678203 - Veröffentlicht am:
18.06.2022 - Geändert am:
23.09.2022