Deep neural networks for crack detection inside structures

Deep neural networks for crack detection inside structures

Abstract Crack detection is a long-standing topic in structural health monitoring. Conventional damage detection techniques rely on intensive, time-consuming, resource-intensive intervention. The current trend of crack detection emphasizes using deep neural networks to build an automated pipeline fr...

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Bibliographic Details
Main Authors: Fatahlla Moreh, Hao Lyu, Zarghaam Haider Rizvi, Frank Wuttke
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Neural network
Deep learning
Crack detection
Wavefield
Online Access:https://doi.org/10.1038/s41598-024-54494-y

Internet

https://doi.org/10.1038/s41598-024-54494-y

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