Prediction Models for Thermal Conductivity of Cement-based Composites

IF 0.7 Q4 CONSTRUCTION & BUILDING TECHNOLOGY
M. Baghban, M. Kioumarsi, S. Grammatikos
{"title":"Prediction Models for Thermal Conductivity of Cement-based Composites","authors":"M. Baghban, M. Kioumarsi, S. Grammatikos","doi":"10.2478/ncr-2018-0010","DOIUrl":null,"url":null,"abstract":"Abstract Cement-based materials are the most consumed materials in the construction industry. Low or high thermal conductive cement-based materials are of interest in applications such as embedded floor heating systems, building envelopes or structural elements. This paper describes prediction models for thermal conductivity of cementitious composites by considering different variables such as constituent materials, porosity and moisture content. The presented prediction models may be used for thermal conductivity based mix design of cementitious materials. Based on the desired accuracy, different solutions are proposed.","PeriodicalId":42762,"journal":{"name":"Nordic Concrete Research","volume":"98 1","pages":"163 - 171"},"PeriodicalIF":0.7000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nordic Concrete Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ncr-2018-0010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 6

Abstract

Abstract Cement-based materials are the most consumed materials in the construction industry. Low or high thermal conductive cement-based materials are of interest in applications such as embedded floor heating systems, building envelopes or structural elements. This paper describes prediction models for thermal conductivity of cementitious composites by considering different variables such as constituent materials, porosity and moisture content. The presented prediction models may be used for thermal conductivity based mix design of cementitious materials. Based on the desired accuracy, different solutions are proposed.
水泥基复合材料导热系数预测模型
水泥基材料是建筑行业中消耗最多的材料。低导热或高导热的水泥基材料在诸如嵌入式地板采暖系统,建筑围护结构或结构元件等应用中很有兴趣。本文介绍了考虑组分、孔隙率和含水率等不同变量的胶凝复合材料导热系数预测模型。该预测模型可用于基于导热系数的胶凝材料配合比设计。根据需要的精度,提出了不同的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Nordic Concrete Research
Nordic Concrete Research CONSTRUCTION & BUILDING TECHNOLOGY-
自引率
20.00%
发文量
8
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信