Prediction Models for Thermal Conductivity of Cement-based Composites

IF 0.7 Q4 CONSTRUCTION & BUILDING TECHNOLOGY Nordic Concrete Research Pub Date : 2018-06-01 DOI:10.2478/ncr-2018-0010
M. Baghban, M. Kioumarsi, S. Grammatikos
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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.
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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。
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来源期刊
Nordic Concrete Research
Nordic Concrete Research CONSTRUCTION & BUILDING TECHNOLOGY-
自引率
20.00%
发文量
8
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