Development of multiple linear regression, artificial neural networks and fuzzy logic models to predict the efficiency factor and durability indicator of nano natural pozzolana as cement additive

Author:

al-Swaidani Aref M.,Khwies Waed T.,al-Baly Mohamad,Lala Tarek

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference63 articles.

1. Application of novel machine learning techniques for predicting the surface chloride concentration in concrete containing waste material;Ahmad;Materials,2021

2. Sustainability of Concrete;Aitcin,2011

3. Fuzzy logic model for the prediction of cement compressive strength;Akkurt;Cement Concr. Res.,2004

4. Effect of adding scoria as cement replacement on durability-related properties;Al-swaidani;Int. J. Concr. Struct. Mater.,2015

5. Use of micro and nano volcanic scoria in the concrete binder: study of compressive strength, porosity and sulfate resistance;Al-Swaidani;Case Stud. Constr. Mater.,2019

同舟云学术

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