Degradation prediction of recycled aggregate concrete under sulphate wetting–drying cycles using BP neural network-Reference-Cited by-同舟云学术

Degradation prediction of recycled aggregate concrete under sulphate wetting–drying cycles using BP neural network

Published:2022-12 Issue: Volume:46 Page:1837-1850
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Du Ting,Chen Jinghao,Qu Fulin,Li Chenyu,Zhao Hanbing,Xie Benyi,Yuan Mofang,Li Wengui^ORCID

Funder

Australian Research Council

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference66 articles.

1. Recycled aggregates from construction and demolition wastes as alternative filling materials for highway subgrades in China;Zhang;J Cleaner Prod,2020

2. Influence of industrial by-products and waste paper sludge ash on properties of recycled aggregate concrete;Bui;J Cleaner Prod,2019

3. Prediction of the sulfate resistance for recycled aggregate concrete based on ensemble learning algorithms;Liu;Constr Build Mater,2022

4. Different influence of replacement ratio of recycled aggregate on uniaxial stress-strain relationship for recycled concrete with different concrete strengths, Structures;Chang,2022

5. Co-disposal of construction and demolition waste (CDW) and municipal solid waste incineration fly ash (MSWI FA) through geopolymer technology;Tan;J Cleaner Prod,2022

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