Machine learning approach to study the mechanical properties of recycled aggregate concrete using copper slag at elevated temperature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00821-z.pdf
Reference45 articles.
1. Ameri, F., de Brito, J., Madhkhan, M., & Taheri, R. A. (2020). Steel fibre-reinforced high-strength concrete incorporating copper slag: Mechanical, gamma-ray shielding, impact resistance, and microstructural characteristics. Journal of Building Engineering, 29, 101118. https://doi.org/10.1016/j.jobe.2019.101118
2. Ameri, F., Shoaei, P., Zahedi, M., Karimzadeh, M., Musaeei, H. R., & Cheah, C. B. (2021). Physico-mechanical properties and micromorphology of AAS mortars containing copper slag as fine aggregate at elevated temperature. Journal of Building Engineering, 39, 102289. https://doi.org/10.1016/j.jobe.2021.102289
3. Bairagi, N. K., Ravande, K., & Pareek, V. K. (1993). Behaviour of concrete with different proportions of natural and recycled aggregates. Resources, Conservation and Recycling, 9(1–2), 109–126. https://doi.org/10.1016/0921-3449(93)90036-F
4. Beatriz da Silva, J., Pepe, M., & Toledo Filho, R. D. (2020). High temperatures effect on mechanical and physical performance of normal and high strength recycled aggregate concrete. Fire Safety Journal. https://doi.org/10.1016/j.firesaf.2020.103222
5. Behera, M., Bhattacharyya, S. K., Minocha, A. K., Deoliya, R., & Maiti, S. (2014). Recycled aggregate from C&D waste & its use in concrete - A breakthrough towards sustainability in construction sector: A review. Construction and Building Materials, 68, 501–516. https://doi.org/10.1016/j.conbuildmat.2014.07.003
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. Optimizing the compressive strength of low-grade hydrous clay and copper slag‐based sustainable ternary blended geopolymer mortar;Journal of Building Engineering;2024-08
2. Waste-to-energy poly-generation scheme for hydrogen/freshwater/power/oxygen/heating capacity production; optimized by regression machine learning algorithms;Process Safety and Environmental Protection;2024-07
3. Random forest and counter propagation neural network model used to study the consequence of nano silica on the mechanical performance of high strength concrete at elevated temperature;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-06-25
4. Performance of recycled aggregate concrete using copper slag as fine aggregate;Journal of Building Engineering;2024-04
5. Predictive analysis of recycled concrete properties at elevated temperatures using M5 pruned rule classifiers;Asian Journal of Civil Engineering;2023-12-09
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