Machine-Learning-Aided Prediction of Flexural Strength and ASR Expansion for Waste Glass Cementitious Composite

Machine-Learning-Aided Prediction of Flexural Strength and ASR Expansion for Waste Glass Cementitious Composite

Waste glass (WG) is unsustainable due to its nonbiodegradable property. However, its main ingredient is silicon dioxide, which can be utilised as a supplementary cementitious material. Before reusing WG, the flexural strength (FS) and alkali–silica reaction (ASR) expansion of WG concrete are two ess...

Full description

Bibliographic Details
Main Authors: Junbo Sun, Yufei Wang, Xupei Yao, Zhenhua Ren, Genbao Zhang, Chao Zhang, Xianghong Chen, Wei Ma, Xiangyu Wang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
random forest
beetle antennae search
activation methodology
machine learning
flexural strength
Online Access:https://www.mdpi.com/2076-3417/11/15/6686

Internet

https://www.mdpi.com/2076-3417/11/15/6686

Similar Items