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寒区隧道阳光棚温升效果与影响

孙克国 魏勇 贾敬龙 孟庆余 张弛 秦晋行 李世斌

孙克国, 魏勇, 贾敬龙, 孟庆余, 张弛, 秦晋行, 李世斌. 寒区隧道阳光棚温升效果与影响[J]. 西南交通大学学报, 2023, 58(3): 645-655. doi: 10.3969/j.issn.0258-2724.20220398
引用本文: 孙克国, 魏勇, 贾敬龙, 孟庆余, 张弛, 秦晋行, 李世斌. 寒区隧道阳光棚温升效果与影响[J]. 西南交通大学学报, 2023, 58(3): 645-655. doi: 10.3969/j.issn.0258-2724.20220398
SUN Keguo, WEI Yong, JIA Jinglong, MENG Qingyu, ZHANG Chi, QIN Jinhang, LI Shibin. Temperature Rise Effects and Impact of Solar Shed in Cold Region Tunnels[J]. Journal of Southwest Jiaotong University, 2023, 58(3): 645-655. doi: 10.3969/j.issn.0258-2724.20220398
Citation: SUN Keguo, WEI Yong, JIA Jinglong, MENG Qingyu, ZHANG Chi, QIN Jinhang, LI Shibin. Temperature Rise Effects and Impact of Solar Shed in Cold Region Tunnels[J]. Journal of Southwest Jiaotong University, 2023, 58(3): 645-655. doi: 10.3969/j.issn.0258-2724.20220398

寒区隧道阳光棚温升效果与影响

doi: 10.3969/j.issn.0258-2724.20220398
基金项目: 国家自然科学基金(52178396)
详细信息
    作者简介:

    孙克国(1981—),男,副教授,博士,博士生导师,研究方向为地下工程施工力学与灾害防治等,E-mail:sunkeg@126.com

  • 中图分类号: U45

Temperature Rise Effects and Impact of Solar Shed in Cold Region Tunnels

  • 摘要:

    为避免寒区隧道冻害问题产生,引入新型阳光棚防寒措施. 首先,建立三维瞬态传热数值模型,获得自然通风条件下的隧道温度场,并通过现场温度监测验证数值计算模型的可靠性;然后,通过数值方法验证阳光棚的温升效果,并进一步探究阳光棚入口风速、长度、跨度及环境温度对温升效果的影响;最后,对各因素进行敏感性分析,研究其对温升效果的影响程度. 研究结果表明:入口风速低于1.0 m/s时,阳光棚发挥良好的温升效果. 风速与温升效果呈负相关;长度每延长50 m,隧道进口气温升高0.71 ℃;跨度对温升效果的影响不明显;温升效果随环境温度变低而愈显著. 上述因素对温升效果的敏感性排序为:入口风速(0.39) > 长度(0.30) > 环境温度(0.19) > 跨度(0.12),其中,入口风速为最敏感因素,应用时应着重考虑. 因此,对阳光棚的使用建议为:低风速、大长度、小跨度.

     

  • 图 1  隧道横断面(单位:cm)

    Figure 1.  Cross-section of tunnel (unit: cm)

    图 2  地温测点布置(单位:cm)

    Figure 2.  Layout of ground temperature measuring points (unit: cm)

    图 3  数值计算模型(单位:m)

    Figure 3.  Numerical calculation model (unit: m)

    图 4  日平均气温正弦曲线拟合

    Figure 4.  Curve fitting of daily average temperature

    图 5  温度场分布

    Figure 5.  Temperature field distribution

    图 6  现场实测与数值模拟对比

    Figure 6.  Comparison between field measurement and numerical simulation

    图 7  阳光棚计算模型(单位:m)

    Figure 7.  Calculation model for solar shed (unit: m)

    图 8  气温和太阳辐照度逐时变化

    Figure 8.  Temporal variation of temperature and solar irradiance

    图 9  阳光棚表面温度分布

    Figure 9.  Temperature distribution on shed surface

    图 10  洞内气温逐时变化

    Figure 10.  Hourly variation of temperature in tunnel

    图 11  有、无阳光棚情况对比

    Figure 11.  Temperature comparison with and without solar shed

    图 12  阳光棚作用下拱顶温度变化

    Figure 12.  Temperature variation of vault wall with solar shed

    图 13  能量转移示意

    Figure 13.  Diagram of energy transfer

    图 14  进口气温随风速变化

    Figure 14.  Variation of air temperature with wind speed

    图 15  进口气温与风速的关系

    Figure 15.  Relationship between air temperature and wind speed

    图 16  进口气温随阳光棚长度变化

    Figure 16.  Variation of air temperature with shed length

    图 17  进口气温与阳光棚长度的关系

    Figure 17.  Relationship between air temperature and shed length

    图 18  进口气温随阳光棚跨度变化

    Figure 18.  Variation of air temperature with shed span

    图 19  环境温度计算工况

    Figure 19.  Calculation cases of ambient temperature

    图 20  温升效应随环境温度变化情况

    Figure 20.  Variation of temperature-rising with ambient temperature

    图 21  各参数敏感度曲线

    Figure 21.  Sensitivity curves under different parameters

    表  1  模型参数

    Table  1.   Parameters of the calculation model

    名称密度/
    (kg·m−3
    比热容/
    (J·kg−1·K−1
    导热系数/
    (W·m−1·K−1
    衬砌24009601.6
    围岩202512562.0
    下载: 导出CSV

    表  2  归一化后敏感度

    Table  2.   Sensitivity after normalization

    因素 入口风速阳光棚长度跨度环境温度
    敏感度 0.390.300.120.19
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-06-07
  • 修回日期:  2022-08-27
  • 网络出版日期:  2023-04-10
  • 刊出日期:  2022-09-22

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