Prediction on compressive strength of recycled aggregate self-compacting concrete by machine learning method-Reference-Cited by-同舟云学术

Prediction on compressive strength of recycled aggregate self-compacting concrete by machine learning method

Published:2024-07 Issue: Volume:88 Page:109055
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Yang Suhang,Sun Jingsong,Zhifeng Xu

Funder

Changzhou Institute of Technology

Publisher

Elsevier BV

Reference57 articles.

1. Performance of recycled aggregates in self-compacting concrete;Modani;Indian Concr. J.,2014

2. Using a hybrid artificial intelligence method for estimating the compressive strength of recycled aggregate self-compacting concrete;Pazouki;European Journal of Environmental and Civil Engineering,2021

3. Properties of self-compacting concrete prepared with coarse recycled concrete aggregate;Grdic;Construct. Build. Mater.,2010

4. Effects of recycled concrete aggregates on the compressive and shear strength of high-strength self-consolidating concrete;Fakitsas;J. Mater. Civ. Eng.,2012

5. The effect of fine and coarse recycled aggregates on fresh and mechanical properties of self-compacting concrete;Nili;Materials,2019

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