Strength evaluation of eco-friendly waste-derived self-compacting concrete via interpretable genetic-based machine learning models
Author:
Funder
Najran University
Publisher
Elsevier BV
Subject
Materials Chemistry,Mechanics of Materials,General Materials Science
Reference78 articles.
1. Characterization of sustainable mortar containing high-quality recycled manufactured sand crushed from recycled coarse aggregate;Ma;Cem. Concr. Compos.,2022
2. Micro-macro characterizations of mortar containing construction waste fines as replacement of cement and sand: A comparative study;Wu;Constr. Build. Mater.,2023
3. Review on the application of supplementary cementitious materials in self-compacting concrete;Pang;Crystals,2022
4. Improvement in concrete behavior with fly ash, silica-fume and coconut fibres;Khan;Constr. Build. Mater.,2019
5. Efficiency of silica-fume content in plain and natural fiber reinforced concrete for concrete road;Khan;Constr. Build. Mater.,2020
Cited by 8 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. Assessing the compressive strength of eco-friendly concrete made with rice husk ash: A hybrid artificial intelligence-aided technique;Structures;2024-10
2. 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
3. Optimizing machine learning techniques and SHapley Additive exPlanations (SHAP) analysis for the compressive property of self-compacting concrete;Materials Today Communications;2024-06
4. Application of machine learning boosting and bagging methods to predict compressive and flexural strength of marble cement mortar;Materials Today Communications;2024-06
5. Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model;Signal, Image and Video Processing;2024-04-10
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