• 全国中文核心期刊
  • 中国科技核心期刊
  • 美国工程索引(EI)收录期刊
  • Scopus数据库收录期刊
徐云山, 肖子龙, 孙德安, 陈军浩, 曾召田. 土体导热系数温度效应及其预测模型[J]. 岩土工程学报, 2023, 45(6): 1180-1189. DOI: 10.11779/CJGE20220243
引用本文: 徐云山, 肖子龙, 孙德安, 陈军浩, 曾召田. 土体导热系数温度效应及其预测模型[J]. 岩土工程学报, 2023, 45(6): 1180-1189. DOI: 10.11779/CJGE20220243
XU Yunshan, XIAO Zilong, SUN Dean, CHEN Junhao, ZENG Zhaotian. Temperature effects and prediction model of thermal conductivity of soil[J]. Chinese Journal of Geotechnical Engineering, 2023, 45(6): 1180-1189. DOI: 10.11779/CJGE20220243
Citation: XU Yunshan, XIAO Zilong, SUN Dean, CHEN Junhao, ZENG Zhaotian. Temperature effects and prediction model of thermal conductivity of soil[J]. Chinese Journal of Geotechnical Engineering, 2023, 45(6): 1180-1189. DOI: 10.11779/CJGE20220243

土体导热系数温度效应及其预测模型

Temperature effects and prediction model of thermal conductivity of soil

  • 摘要: 考虑环境温度变化对土体导热系数的影响,对于地下热工项目的优化设计和安全评价是必要的。利用热探针法测试了不同温度下红黏土、粉土、软土和膨润土的导热系数,分析了土体导热系数的温度效应及其影响因素,建立了考虑导热系数温度效应的加权几何平均模型,并与传统的预测模型进行对比分析。试验结果表明:土体导热系数随温度的增加而增大,其温度效应随干密度的增大而减小,温度对非饱和土体导热系数的影响较大,对于干燥和饱和土体导热系数的影响较微弱。温度对土体导热系数的影响可能取决于水汽潜热传输作用的变化,土中可提供潜热传输的水分和水汽运移通道越多,土体导热系数的温度效应越显著。模型计算结果表明,提出的加权几何平均模型预测性能良好,且较好预测了含水率和干密度对土体导热系数温度效应的影响,而Tarnawski模型、Gori模型、Leong模型预测精度均低于加权几何平均模型。

     

    Abstract: Considering the influences of environmental temperature on thermal conductivity of soil is necessary for the optimization design and safety assessment of underground thermal engineering projects. The thermal conductivities of lateritic clay, silt clay, soft clay and bentonite at different temperatures are measured by using the thermal probe method, and the temperature effects of thermal conductivity of soil and its influencing factors are analyzed. A weighted geometric average model considering the temperature effects of thermal conductivity of soil is then established, and is compared with the traditional predictive models. The test results show that the thermal conductivity of soil increases with the increase of temperature, and its temperature effects decrease with the increase of dry density. The temperature has a great influence on the thermal conductivity of unsaturated soil, but a weak influence on the thermal conductivity of dry and saturated soil. The temperature effects of thermal conductivity of soil may depend on the change of the latent heat transfer of vapor. The more the moisture and vapor migration channels that can provide for the latent heat transfer of vapor in soil, the more significant the temperature effects of thermal conductivity of soil. The calculated results show that the proposed weighted geometric average model provides the best fitting to the measured data against the three other traditional models, and can predict well the influences of water content and dry density on the temperature effects of thermal conductivity of soil, while the prediction accuracy of the Tarnawski model, Gori model and Leong model is lower than that of the weighted geometric average model.

     

/

返回文章
返回