首页> 外文期刊>Letters in heat and mass transfer >Enhanced fractal capillary bundle model for effective thermal conductivity of composite-porous geomaterials
【24h】

Enhanced fractal capillary bundle model for effective thermal conductivity of composite-porous geomaterials

机译:复合多孔土工材料有效导热性的增强分形毛细管束模型

获取原文
获取原文并翻译 | 示例
       

摘要

A good knowledge of the effective thermal conductivity (ETC) of geomaterials is required to achieve accurate study on heat transfer in a variety of earth-contact engineering applications. On account of composite-porous characteristic of geomaterials, the thermal conductivity of each component is the foundation while the porous structure is the key influence factor. Accordingly, a fractal capillary bundle model at pore scale is proposed in this paper to predict the ETC of saturated/unsaturated composite-porous geomaterials. The combination of fractal theory and capillary bundle model hypothesis is used to describe the random, disordered and extremely complicated microstructure of geomaterials. The analytical solution of the ETC is obtained by using the thermal-electrical analogy technique, which demonstrates that the proposed model is a function of variety of composition and microstructure parameters. Both the effects of these two types of parameters on the ETC of geomaterials are analyzed theoretically. Compared with other models, the present model represents specific physical meaning and shows acceptable accuracy and performance. The model predictions are further compared with the available experimental data for three types of concrete, and a good agreement between them can be found in most of saturation degrees (0.2 < S_r < 0.8).
机译:要在各种与地面接触的工程应用中进行传热的精确研究,需要对土工材料的有效导热系数(ETC)有充分的了解。考虑到土工材料的复合多孔特性,每个组件的导热系数是基础,而多孔结构是关键的影响因素。因此,本文提出了孔隙尺度的分形毛细管束模型,以预测饱和/不饱和复合多孔土工材料的ETC。分形理论和毛细管束模型假设的结合被用来描述土工材料的随机,无序和极其复杂的微观结构。通过热电模拟技术获得了ETC的解析解,表明所提出的模型是各种成分和微观结构参数的函数。从理论上分析了这两种参数对土工材料ETC的影响。与其他模型相比,本模型表示特定的物理含义,并显示出可接受的准确性和性能。将模型预测值与三种混凝土的可用实验数据进行了进一步比较,并且可以在大多数饱和度(0.2

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号