To determine the compressive strength of self-compacting recycled aggregate concrete using artificial neural network (ANN)
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference118 articles.
1. Performance evaluation of self-compacting concrete containing volcanic ash and recycled coarse aggregates;Chakkamalayath;Asian J Civ Eng,2020
2. Althoey F, Zaid O, de-Prado-Gil J, et al.Impact of sulfate activation of rice husk ash on the performance of high strength steel fiber reinforced recycled aggregate concrete. J Build Eng 2022;54:104610. 10.1016/j.jobe.2022.104610.
3. Characteristics of high-performance steel fiber reinforced recycled aggregate concrete utilizing mineral filler;Zaid;Case Stud Constr Mater,2022
4. A Study on the Mechanical Characteristics of Glass and Nylon Fiber Reinforced Peach Shell Lightweight Concrete;Ahmad;Materials (Basel),2021
5. A step towards sustainable glass fiber reinforced concrete utilizing silica fume and waste coconut shell aggregate;Zaid;Sci Rep,2021
Cited by 9 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. The ultimate capacity of geopolymer recycled aggregate concrete filled steel tubular columns: Numerical and theoretical study;Journal of Building Engineering;2024-11
2. A Two-Level Machine Learning Prediction Approach for RAC Compressive Strength;Buildings;2024-09-12
3. Optimizing pervious concrete with machine learning: Predicting permeability and compressive strength using artificial neural networks;Construction and Building Materials;2024-09
4. Predictive Methods for the Evolution of Oil Well Cement Strength Based on Porosity;2024-08-28
5. Evaluation of Machine Learning and Traditional Methods for Estimating Compressive Strength of UHPC;Buildings;2024-08-28
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