Integrating Image Processing and Machine Learning for the Non-Destructive Assessment of RC Beams Damage

Integrating Image Processing and Machine Learning for the Non-Destructive Assessment of RC Beams Damage

Non-destructive testing (NDT) is a crucial method for detecting damages in concrete structures. Structural damage can lead to functional changes, necessitating a range of damage detection techniques. Non-destructive methods enable the pinpointing of the location of the damage without causing harm to...

Full description

Bibliographic Details
Main Authors: Hosein Naderpour, Mohammad Abbasi, Denise-Penelope N. Kontoni, Masoomeh Mirrashid, Nima Ezami, Ambrosios-Antonios Savvides
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Buildings
Subjects:
image processing
reinforced concrete beam
crack propagation
damage detection
non-destructive testing
machine learning
Online Access:https://www.mdpi.com/2075-5309/14/1/214

Internet

https://www.mdpi.com/2075-5309/14/1/214

Similar Items