Durability prediction of geopolymer mortar reinforced with nanoparticles and PVA fiber using particle swarm optimized BP neural network

Durability prediction of geopolymer mortar reinforced with nanoparticles and PVA fiber using particle swarm optimized BP neural network

In this study, polyvinyl alcohol (PVA) fibers and nanoparticles were incorporated to enhance the durability of geopolymer mortar (GM) with metakaolin (MK) and fly ash (FA). The dosage of nano-SiO2 (NS) was 0–2.5% and that of PVA fiber was 0–1.2%. The durability of GM includes resistance to chloride...

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Bibliographic Details
Main Authors: Zhang Xuemei, Zhang Peng, Yuan Weisuo, Hu Shaowei
Format: Article
Language:English
Published: De Gruyter 2024-03-01
Series:Nanotechnology Reviews
Subjects:
geopolymer mortar
pso-bp neural network
durability
prediction
Online Access:https://doi.org/10.1515/ntrev-2023-0214

Internet

https://doi.org/10.1515/ntrev-2023-0214

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