A comparative investigation using machine learning methods for concrete compressive strength estimation
Author:
Publisher
Elsevier BV
Subject
Materials Chemistry,Mechanics of Materials,General Materials Science
Reference57 articles.
1. Concrete material science: past, present, and future innovations;Van Damme;Cem. Concr. Res.,2018
2. Revisiting the concept of characteristic compressive strength of concrete;Vu;Constr. Build. Mater.,2020
3. Effect of concrete mixture components, proportioning, and compressive strength on fracture parameters;Shafiei Dastgerdi;Constr. Build. Mater.,2019
4. Concrete strength gain monitoring with non-destructive methods for potential adoption in quality assurance;Ghahri Saremi;Constr. Build. Mater.,2020
5. Compressive strength evaluation by non-destructive techniques: an automated approach in construction industry;Rashid;J. Build. Eng.,2017
Cited by 68 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. Data-Driven Interpretable Machine Learning Prediction Method for the Bond Strength of Near-Surface-Mounted FRP-Concrete;Buildings;2024-08-26
3. Visual analytics of an interpretable prediction model for the glass transition temperature of fluoroelastomers;Materials Today Communications;2024-08
4. Compressive Strength Prediction of Concrete Under Sulfate Attack Using Coupled Machine Learning Methods;Iranian Journal of Science and Technology, Transactions of Civil Engineering;2024-07-19
5. Predicting the mechanical properties of plastic concrete: An optimization method by using genetic programming and ensemble learners;Case Studies in Construction Materials;2024-07
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