摘要
为准确掌握强蒸发地区受路面覆盖效应影响的砾类土路基温度场的时空分布特性和规律,通过全天候温度监测,展开该路基温度场分布特性的研究.研究结果表明,不同深度处的月平均温度总体呈余弦或正弦函数分布,但相位角随路基深度和升降温过程的不同而变化;受路面覆盖效应影响较无路面覆盖效应影响的路基内低温峰值略低而高温峰值略高,但其分布规律基本一致;温度梯度在不同的温度条件以及在不同深度处分布也不尽相同,最大温度梯度在低温季节下的90~150cm深度范围内.在此基础上针对升温过程和降温过程,提出了温度场预估模型,该模型具有较高的相关性,并为强蒸发地区考虑路面覆盖效应影响的路基内部水汽迁移和湿度分布特性研究提供基础.
In order to accurately grasp the temporal-spatial distribution characteristics and law of the temperature field of the gravel subgrade affected by pavement blanketing effect in the strong evaporation area, the temperature field distribution characteristics of the subgrade are studied by all- weather temperature monitoring. The results show that the monthly mean temperature at different depths is general cosine or sine function distribution, but the phase angle varies with the depth of the subgrade and the temperature rising and falling process. The low-temperature peak value of the subgrade affected by pavement blanketing effect is slightly lower than that of the subgrade without pavement blanketing effect, and the high-temperature peak value is slightly higher, but the distribution law is basically the same. The temperature gradient distributions are not the same along the different temperature conditions and subgrade depths, the maximum temperature gradient is in 90- 150 cm depth range of the low-temperature seasons. Based on this, a temperature field prediction model is proposed for the heating process and the cooling process. The model has a high correlation and can provide the basis for moisture transfer and moisture distribution characteristics study of the subgrade in the strong evaporation area considering the influence of pavement blanketing effect.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
2017年第4期403-410,共8页
Journal of Dalian University of Technology
基金
国家自然科学基金资助项目(51368058)
黄土地区公路建设与养护技术交通行业重点实验室和山西省重点实验室开放课题资助项目(KLTLR-Y14-10)
关键词
砾类土路基
温度分布特性
强蒸发地区
路面覆盖效应
预估模型
gravel subgrade
temperature distribution characteristics
strong evaporation region
pavement blanketing effect
prediction model
