Algorithm Development for the Non-Destructive Testing of Structural Damage

Algorithm Development for the Non-Destructive Testing of Structural Damage

Monitoring of structures to identify types of damages that occur under loading is essential in practical applications of civil infrastructure. In this paper, we detect and visualize damage based on several non-destructive testing (NDT) methods. A machine learning (ML) approach based on the Support V...

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Bibliographic Details
Main Authors: Azadeh Noori Hoshyar, Maria Rashidi, Ranjith Liyanapathirana, Bijan Samali
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
non-destructive testing
machine learning
artificial intelligence
image processing
microwave or millimeter wave imaging
structural damage
Online Access:https://www.mdpi.com/2076-3417/9/14/2810

Internet

https://www.mdpi.com/2076-3417/9/14/2810

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