Prediction Models for Thermal Conductivity of Cement-based Composites

被引:4
|
作者
Baghban, Mohammad H. [1 ]
Kioumarsi, Mahdi [2 ]
Grammatikos, Sotirios [1 ]
机构
[1] Norwegian Univ Sci & Technol NTNU, Dept Mfg & Civil Engn, Teknol Vegen 22, N-2815 Gjovik, Norway
[2] Oslo Metropolitan Univ OsloMet, Dept Civil Engn & Energy Technol, Pilestredet 35, Oslo, Norway
来源
NORDIC CONCRETE RESEARCH | 2018年 / 58卷 / 01期
关键词
Mix Design; Model; Thermal Conductivity; Cement-based Materials;
D O I
10.2478/ncr-2018-0010
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:163 / 171
页数:9
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