Evaluation of Infrared Thermography Dataset for Delamination Detection in Reinforced Concrete Bridge Decks

Structural health monitoring and condition assessment of existing bridge decks is a growing challenge. Conventional manned inspections are costly, labor-intensive, and often risky to execute. Sub-surface delamination, a leading cause of deck replacement, can be autonomously and objectively detected...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Eberechi Ichi, Sattar Dorafshan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-03-01
Schriftenreihe:	Applied Sciences
Schlagworte:	bridge infrastructure non-destructive evaluation (NDE) deep learning artificial intelligence unmanned aerial system (UAS) infrared thermography (IRT)
Online-Zugang:	https://www.mdpi.com/2076-3417/14/6/2455
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