Exploring the major factors affecting fly-ash concrete carbonation using artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-017-3052-2.pdf
Reference52 articles.
1. Chen C, Habert G, Bouzidi Y, Jullien A (2010) Environmental impact of cement production: detail of the different processes and cement plant variability evaluation. J Clean Prod 18:478–485
2. Williams PJ, Biernacki JJ, Walker LR, Meyer HM, Rawn CJ, Bai J (2002) Microanalysis of alkali-activated fly ash CH pastes. Cem Concr Res 32(6):963–972
3. Liu J, Tang K, Qiu Q, Pan D, Lei Z, Xing F (2014) Experimental investigation on pore structure characterization of concrete exposed to water and chlorides. Materials 7(9):6646–6659
4. Naik TR, Singh SS, Hossain MM (1994) Permeability of concrete containing large amounts of fly ash. Cem Concr Res 24(5):913–922
5. McCarthy M, Dhir R (2005) Development of high volume fly ash cements for use in concrete construction. Fuel 84(11):1423–1432
Cited by 55 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. Metaheuristic optimization based- ensemble learners for the carbonation assessment of recycled aggregate concrete;Applied Soft Computing;2024-07
2. Comparative study of different machine learning approaches for predicting the compressive strength of palm fuel ash concrete;Journal of Building Engineering;2024-07
3. A hybrid artificial intelligence approach for modeling the carbonation depth of sustainable concrete containing fly ash;Scientific Reports;2024-05-25
4. A Review of Concrete Carbonation Depth Evaluation Models;Coatings;2024-03-26
5. Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection;Construction and Building Materials;2024-02
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