Linear and non-linear SVM prediction for fresh properties and compressive strength of high volume fly ash self-compacting concrete
Author:
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference79 articles.
1. Experimental evaluation of the effects of reverse cyclic loading rate on the mechanical behavior of reinforced SCC beams;Tavakoli;Constr. Build. Mater.,2017
2. Use of silica fume and recycled steel fibers in self-compacting concrete (SCC);Mastali;Constr. Build. Mater.,2016
3. Linking fresh and durability properties of paste to SCC mortar;Figueiras;Cem. Concr. Compos.,2014
4. A comparative study of the effect of adding steel fiber on the mechanical behavior of RSCC beams under displacement and force control conditions;Tavakoli;Constr. Build. Mater.,2018
5. Damage behaviors of self-compacting concrete and prediction model under coupling effect of salt freeze-thaw and flexural load;Tian;Constr. Build. Mater.,2016
Cited by 167 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. Prediction of time-dependent concrete mechanical properties based on advanced deep learning models considering complex variables;Case Studies in Construction Materials;2024-12
2. Advancing mix design prediction in 3D printed concrete: Predicting anisotropic compressive strength and slump flow;Case Studies in Construction Materials;2024-12
3. Mix design approaches of eco-friendly geopolymer concrete: A critical review;Hybrid Advances;2024-12
4. Improved medical waste plasma gasification modelling based on implicit knowledge-guided interpretable machine learning;Waste Management;2024-11
5. Novel Optical-Inspired Rain Forest for the Explainable Prediction of Geopolymer Concrete Compressive Strength;Journal of Computing in Civil Engineering;2024-11
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