Thermal conductivity of porous building materials: An exploration of new challenges in fractal modelling solutions

Q2 Engineering RILEM Technical Letters Pub Date : 2023-11-23 DOI:10.21809/rilemtechlett.2023.178
Giorgio Pia, M. Cappai
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Abstract

The improvement in the insulation material performance is one of the recent crucial problems. The energy consumption in the construction and buildings field has a significant impact on the society and the environment. For these reasons, researchers have focused on studying their thermal behaviour in order to improve fabrication methods and material design structures. In this sense, a great contribution has been offered by the modeling procedures. A remarkable attention has been dedicated to the application of fractal geometry which seems to be a promising method to replicate the porous structures as well as to predict the effective thermal conductivity. In this paper, a review of different modeling procedures is presented, comparing both traditional and fractal theory-based approaches. Fractal models demonstrate high reliability in reproducing experimental data under various conditions, including dry and moist systems. This is further enhanced by the application of recursive formulas, which streamline calculations even for complex porous microstructures. The choice between one model and another depends on the specific characteristics of the materials under study. In all cases, the versatility of the analytical procedures enables one to achieve a remarkable agreement with experimental data.
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多孔建筑材料的导热性:探索分形建模解决方案的新挑战
提高隔热材料的性能是近期的关键问题之一。建筑和楼宇领域的能源消耗对社会和环境有着重大影响。出于这些原因,研究人员一直专注于研究其热行为,以改进制造方法和材料设计结构。在这个意义上,建模程序做出了巨大贡献。分形几何的应用受到了广泛关注,它似乎是复制多孔结构和预测有效热导率的有效方法。本文对不同的建模程序进行了综述,并对传统方法和基于分形理论的方法进行了比较。分形模型在各种条件下(包括干燥和潮湿系统)再现实验数据方面表现出很高的可靠性。递归公式的应用进一步增强了这种可靠性,即使是复杂的多孔微结构,递归公式也能简化计算。在一种模型和另一种模型之间做出选择取决于所研究材料的具体特性。在任何情况下,分析程序的多功能性都能使计算结果与实验数据惊人地一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
RILEM Technical Letters
RILEM Technical Letters Materials Science-Materials Science (all)
CiteScore
5.00
自引率
0.00%
发文量
13
审稿时长
10 weeks
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