An agile, intelligent and scalable framework for mix design optimization of green concrete incorporating recycled aggregates from precast rejects-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An agile, intelligent and scalable framework for mix design optimization of green concrete incorporating recycled aggregates from precast rejects

Published:2024-07 Issue: Volume:20 Page:e03156
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Yu Yong,Fang Guo-Hua,Kurda Rawaz,Sabuj Ashikur Rahman,Zhao Xin-Yu

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference48 articles.

1. Properties of recycled aggregate concrete made with recycled aggregates with different amounts of old adhered mortars;Duan;Mater. Des.,2014

2. Toward the development of sustainable concretes with recycled concrete aggregates: comprehensive review of studies on mechanical properties;Xie;J. Mater. Civ. Eng.,2018

3. Prediction of compressive strength of recycled aggregate concrete using artificial neural networks;Duan;Constr. Build. Mater.,2013

4. Early-stage water-absorbing behavior and mechanism of recycled coarse aggregate;Duan;Constr. Build. Mater.,2023

5. Innovative modeling framework of chloride resistance of recycled aggregate concrete using ensemble-machine-learning methods;Liu;Constr. Build. Mater.,2022

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive performance assessment of recycled coarse aggregate concrete using artificial intelligence: A review;Cleaner Materials;2024-09

2. Utilization of dumped coal ash from power-plant landfills for carbon footprint reduction in sustainable pavement base construction;Construction and Building Materials;2024-08

3. Investigating specimen size and shape effects on compressive mechanical behaviors of recycled aggregate concrete using discrete element mesoscale modeling;Construction and Building Materials;2024-08

4. Explainable machine learning models for punching shear capacity of FRP bar reinforced concrete flat slab without shear reinforcement;Case Studies in Construction Materials;2024-07

5. Carbonation depth prediction and parameter influential analysis of recycled concrete buildings;Journal of CO2 Utilization;2024-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3