Prediction of Electrical Conductivity of Fiber-Reinforced Cement-Based Composites by Deep Neural Networks

This study presents a deep-learning method for characterizing carbon fiber (CF) distribution and predicting electrical conductivity of CF-reinforced cement-based composites (CFRCs) using scanning electron microscopy (SEM) images. First, SEM images were collected from CFRC specimens with different CF...

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Detalles Bibliográficos
Autores principales: Yuan, Dongdong, Jiang, Wei, Tong, Zheng, Gao, Jie, Xiao, Jingjing, Ye, Wanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926695/
https://www.ncbi.nlm.nih.gov/pubmed/31771187
http://dx.doi.org/10.3390/ma12233868

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926695/
https://www.ncbi.nlm.nih.gov/pubmed/31771187
http://dx.doi.org/10.3390/ma12233868

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