Surrogate Models to Predict the Long-Term Compressive Strength of Cement-Based Mortar Modified with Fly Ash
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11831-022-09734-7.pdf
Reference63 articles.
1. Abed ZM (2018) The effect of using lightweight aggregate on some properties of cement mortar. Iraqi J Civ Eng 12(1):1–9
2. Gartner E (2004) Industrially interesting approaches to “low-CO2” cements. Cem Concr Res 34(9):1489–1498. https://doi.org/10.1016/j.cemconres.2004.01.021
3. Fraay ALA, Bijen JM, De Haan YM (1989) The reaction of fly ash in concrete a critical examination. Cem Concr Res 19(2):235–246. https://doi.org/10.1016/0008-8846(89)90088-4
4. Rahhal V, Talero R (2004) Influence of two different fly ashes on the hydration of portland cements. J Therm Anal Calorim 78(1):191–205. https://doi.org/10.1023/b:jtan.0000042167.46181.17
5. Peter C (2005) Hewlett, Lea’s Chemistry of Cement and Concrete, vol 605. Wiley, New York, pp 10158–20012
Cited by 25 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. Assessment of short and long-term pozzolanic activity of natural pozzolans using machine learning approaches;Structures;2024-10
2. Machine learning as alternative strategy for the numerical prediction of the shear response in reinforced and prestressed concrete beams;Results in Engineering;2024-06
3. Evaluation of mechanical properties of cement mortars containing pond ash as partial replacement of river sand and prediction of properties by regression models;European Journal of Environmental and Civil Engineering;2024-03-18
4. ANN-based predictive mimicker for the constitutive model of engineered cementitious composites (ECC);Construction and Building Materials;2024-03
5. Advanced modeling for predicting compressive strength in fly ash-modified recycled aggregate concrete: XGboost, MEP, MARS, and ANN approaches;Innovative Infrastructure Solutions;2024-02-09
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