Applying Kernel Principal Component Analysis for Enhanced Multivariable Regression Modeling of Rubberized Concrete Properties
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-07435-8.pdf
Reference37 articles.
1. Najim, K.; Hall, M.: A review of the fresh/hardened properties and applications for plain-(PRC) and self-compacting rubberised concrete (SCRC). Constr. Build. Mater. 24(11), 2043–2051 (2010)
2. Alam, I.; Mahmood, A.; Khattak, N.: Use of rubber as aggregate in concrete: a review. Int. J. Adv. Struct. Geotech. Eng. 4(2), 2319–5347 (2015)
3. Li, D.; Mills, J.; Benn, T.; Ma, X.; Gravina, R.; Zhuge, Y.: Review of the performance of high-strength rubberized concrete and its potential structural applications. Adv. Civ. Eng. Mater. (2016)
4. Thomas, B.; Gupta, R.: A comprehensive review on the applications of waste tire rubber in cement concrete. Renew. Sustain. Energy Rev. (2016)
5. Habib, A.; Yildirim, U.; Eren, O.: Mechanical and dynamic properties of high strength concrete with well graded coarse and fine tire rubber. Constr. Build. Mater. 246, 118502 (2020)
Cited by 7 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. Estimating the strength of bi-axially loaded track and channel cold formed composite column using different AI-based symbolic regression techniques;Scientific Reports;2024-08-21
2. Optimized neural network-based model to predict the shear strength of trapezoidal-corrugated steel webs;Heliyon;2024-08
3. Recent efforts on investigating the effects of recycled rubber content on the mechanical properties of structural concrete;Discover Civil Engineering;2024-05-27
4. Developing ensemble machine learning for estimating and parametrically assessing the moment capacity of ferrocement members;Asian Journal of Civil Engineering;2024-03-17
5. Evaluating the Sensitivity of Machine Learning Models to Data Preprocessing Technique in Concrete Compressive Strength Estimation;Arabian Journal for Science and Engineering;2024-02-26
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