院报 ›› 2023, Vol. 40 ›› Issue (8): 157-162.DOI: 10.11988/ckyyb.20220259

• 水工结构与材料 • 上一篇    下一篇

吸湿聚氨酯保温材料导热系数模型研究

王后密1, 刘超1, 明锋2,3   

  1. 1.中交二公局第四工程有限公司, 河南 洛阳 471013;
    2.青海省交控建设工程集团有限公司,西宁 810003;
    3.中国科学院西北生态环境资源研究院 冻土工程国家重点实验室,兰州 730000
  • 收稿日期:2022-03-17 修回日期:2022-05-30 出版日期:2023-08-01 发布日期:2023-08-09
  • 通讯作者: 明 锋(1986-),男,重庆潼南人,副研究员,博士,主要从事冻胀机理研究。E-mail:mf0329@163.com
  • 作者简介:王后密(1988-),男,重庆南川人,高级工程师,主要从事寒区工程施工技术研究。E-mail:421436772@qq.com
  • 基金资助:
    国家自然科学基金项目(41701060);青海省科技计划项目(2023-SF-125)

Thermal Conductivity Model for Polyurethane Insulation Material in Consideration of Moisture

WANG Hou-mi1, LIU Chao1, MING Feng2,3   

  1. 1. CCCC-SHB Fourth Engineering Co. Ltd., Luoyang 471013, China;
    2. Qinghai Communication Holding Construction Engineering Group Co., Ltd., Xining 810003, China;
    3. State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2022-03-17 Revised:2022-05-30 Published:2023-08-01 Online:2023-08-09

摘要: 铺设保温材料是降低渠道冻胀的重要措施之一。然而,保温材料在服役过程中会产生吸湿作用,将导致其保温性能降低。为探究吸湿对保温材料导热系数的影响,基于均匀化方法和最小热阻力原理,建立了考虑含水率影响的导热系数预测模型,并讨论孔隙率和含水率对导热系数的影响,最后对模型进行验证。结果表明:增大孔隙率将引起热阻增大、导热系数降低,但水分能够发挥热桥作用从而增大导热系数。该模型预测值与实测值的误差<5%,验证了用此方法计算保温材料的导热系数是可行的。研究成果证实水分是降低保温性能的重要因素,并提出了改善聚氨酯保温材料憎水性的建议措施。

关键词: 渠道, 保温材料, 导热系数, 聚氨酯, 预测模型

Abstract: Laying insulation materials is an effective measure to mitigate the freezing damage to channels. However, the absorption of moisture by insulation materials can lead to a deterioration in their thermal insulation performance. To investigate the impact of moisture content on thermal conductivity of insulation materials, a model predicting thermal conductivity taking moisture content into account was established using the homogenization method based on the minimum thermal resistance law. Furthermore, the influence of porosity and moisture content on thermal conductivity was examined. The proposed model was then validated against experimental results and an existing model. The findings reveal that thermal conductivity decreases with the increase of porosity, but increases with the increase of moisture content. The error between the predicted and measured results is less than 5%, thereby confirming the feasibility of the proposed model in calculating the thermal conductivity of insulation materials. Additionally, moisture is identified as a significant factor in diminishing the thermal insulation performance of polyurethane rigid foam. Consequently, enhancing the hydrophobic properties of insulation materials holds great practical significance in improving its thermal insulation performance. Several suggestions are put forward to enhance the hydrophobicity of polyurethane insulation materials.

Key words: canal, insulation material, thermal conductivity, polyurethane, prediction model

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