Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete

Published:2022-11 Issue: Volume:130 Page:109641
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Moghaddas Seyed Amirhossein^ORCID,Nekoei Masood^ORCID,Golafshani Emadaldin Mohammadi^ORCID,Behnood Ali^ORCID,Arashpour Mehrdad^ORCID

Publisher

Elsevier BV

Subject

Software

Reference116 articles.

1. An overview of construction and demolition waste management in Canada: A lifecycle analysis approach to sustainability;Yeheyis;Clean Technol. Environ. Policy,2013

2. Effective utilization and recycling of mixed recycled aggregates for a greener environment;Zhang;J. Clean. Prod.,2019

3. A diagnosis of construction and demolition waste generation and recovery practice in the European Union;Villoria Sáez;J. Clean. Prod.,2019

4. On relationships between the mechanical properties of recycled aggregate concrete: An overview;Xiao;Mater. Struct. Constr.,2006

5. Mix design for pervious recycled aggregate concrete;Sriravindrarajah;Int. J. Concr. Struct. Mater.,2012

Cited by 23 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. Estimation of concrete compressive strength from non-destructive tests using a customized neural network and genetic algorithm;Applied Soft Computing;2024-10

2. A Two-Level Machine Learning Prediction Approach for RAC Compressive Strength;Buildings;2024-09-12

3. Prediction of properties of recycled aggregate concrete using machine learning models: A critical review;Journal of Building Engineering;2024-08

4. An innovative moment balanced inference engine for predicting recycled concrete aggregate strength and minimizing mixture CO2 emissions;Construction and Building Materials;2024-08

5. A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete;Construction and Building Materials;2024-08

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