检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]中国科学技术大学热科学与能源工程系,合肥230027
出 处:《太阳能学报》2006年第10期1069-1072,共4页Acta Energiae Solaris Sinica
摘 要:在多组分随机混合模型的基础上,得到由组分物性和体积分数预测多相系多孔介质有效导热系数的方法。通过与实验数据的对比,验证本文提出的模型能较好地预测含湿土壤的导热系数。研究了影响湿土壤热物性的因素,结果表明土壤的热物性与土壤类型、孔隙率、水分饱和度和水的物态密切相关。比较分析了土壤在未冻结和冻结状态下的热物性差异及变化规律。Based on a randomly mixed model of multi-component medium, the effective thermal conductivity of porous medium was obtained from the property and volume fraction of the components. Compared with the experimental data, the present model can give better predictions of the effective thermal conductivity of wet porous soils. Factors related to the thermal properties of the soil were investigated, and the results show that the effective thermal conductivity of the soil depends on the type of soil, the porosity, the degree of saturation and the state of the water. In addition, the difference between the frozen and unfrozen soils was analyzed, and related issues were also discussed.
关 键 词:随机混合模型 多孔介质 土壤 有效导热系数 孔隙率 饱和度
分 类 号:TK512.4[动力工程及工程热物理—热能工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222