2D Digital Image Correlation and Region-Based Convolutional Neural Network in Monitoring and Evaluation of Surface Cracks in Concrete Structural Elements

This paper shows how 2D digital image correlation (2D DIC) and region-based convolutional neural network (R-CNN) can be combined for image-based automated monitoring and assessment of surface crack development of concrete structural elements during laboratory quasi-static tests. In the presented app...

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Detalles Bibliográficos
Autores principales: Słoński, Marek, Tekieli, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475812/
https://www.ncbi.nlm.nih.gov/pubmed/32785087
http://dx.doi.org/10.3390/ma13163527

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475812/
https://www.ncbi.nlm.nih.gov/pubmed/32785087
http://dx.doi.org/10.3390/ma13163527

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