Nanomodification analysis of pore structure in GO-enhanced CWRB based on metal intrusion and BSE imaging with deep learning

Nanomodification analysis of pore structure in GO-enhanced CWRB based on metal intrusion and BSE imaging with deep learning

Understanding the microstructural reinforcing mechanism benefits for graphene oxide (GO) on cemented waste rock backfill (CWRB) strengthening. However, quantitatively characterizing the reinforcing effects of GO and locating the modified nano/microscale features remain critical challenges due to the...

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Bibliographic Details
Main Authors: Jiajian Yu, Yi Gong, Yuan Gao, Hao Sui, Xiaoli Xu, Yanming Liu
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Case Studies in Construction Materials
Subjects:
Graphene oxide
Nano modification
Pore structure
Reinforcing feature characterization
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S221450952500097X
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