Compressive strength and anti-chloride ion penetration assessment of geopolymer mortar merging PVA fiber and nano-SiO2 using RBF–BP composite neural network

Compressive strength and anti-chloride ion penetration assessment of geopolymer mortar merging PVA fiber and nano-SiO2 using RBF–BP composite neural network

In this study, we investigated the mechanical properties and chloride ion permeation resistance of geopolymer mortars based on fly ash modified with nano-SiO2 (NS) and polyvinyl alcohol (PVA) fiber and metakaolin (MK) at dose levels of 0–1.2% for PVA fiber and 0–2.5% for NS. The Levenberg–Marquardt...

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Bibliographic Details
Main Authors: Zhang Xuemei, Zhang Peng, Wang Tingya, Zheng Ying, Qiu Linhong, Sun Siwen
Format: Article
Language:English
Published: De Gruyter 2022-03-01
Series:Nanotechnology Reviews
Subjects:
geopolymer mortar
rbf–bp composite neural network
resistance to chloride ion penetration
compressive strength
prediction
Online Access:https://doi.org/10.1515/ntrev-2022-0069

Internet

https://doi.org/10.1515/ntrev-2022-0069

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