Doctoral thesis (Dissertations and theses)Damage Detection, Localization and Quantification of Prestressed Concrete Bridges based o Artificial Intelligence (AI) Model-Updating Approaches
DAKHILI, Khatereh
2024
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Keywords :
Bridge Damage Assessment; Model Updating; Optimization; Artificial Neural Networks; Sagging
Disciplines :
Mechanical engineering
Civil engineering
DAKHILI, Khatereh ;
University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Engineering > Team Stefan MAAS Title :
Damage Detection, Localization and Quantification of Prestressed Concrete Bridges based o Artificial Intelligence (AI) Model-Updating Approaches
Defense date :
25 October 2024
Institution :
Unilu - University of Luxembourg [Science, Technology and Medicine], Luxembourg, Luxembourg
Degree :
Docteur en Sciences de l'Ingénieur (DIP_DOC_0005_B)
Promotor :
MAAS, Stefan ;
University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) President :
SCHÄFER, Markus ;
University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) Jury member :
Bender Michél; Hochschule Trier, University of Applied Sciences
Link Michael; University of Kassel
FnR Project :
FNR14008775 - New Methods For Bridge Damage Assessment, 2019 (15/11/2020-14/11/2024) - Stefan Maas
Funders :
FNR - Fonds National de la Recherche
Available on ORBilu :
since 21 December 2024
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