摘要
季冻区隧道温度场的分布及演变规律研究是提升隧道服役性能、保障通车效率的基础性工作。气象参数的代表性是决定隧道温度场分布规律的重要因素。以新宾隧道工程为例,在分析工程区近41年气象数据的基础上,通过三维足尺数值模拟分析了极端气象条件下隧道温度场分布规律。研究表明:新宾地区最冷月份以12~15方位风为主,其持续时间基本服从对数正态分布;不同气象组合条件下隧道温度场存在显著差异,新宾隧道抗冻设防重点在入口端;风向使得隧道出入口附近南北两侧温度存在较大差异,随进深增加温差逐渐减小直到消失;隧道出入口附近围岩负温区域随通风时间逐渐扩大且分布渐趋不均匀,隧道入口负温区长度和深度均随通风时间非线性增大,增大速率渐趋减缓。
The distribution and evolution of tunnel temperature field in seasonal freezing region is the basic work for improving tunnel service performance and guaranteeing traffic efficiency. The representativeness of meteorological parameters is an important factor to determine the distribution law of tunnel temperature field. Taking Xinbin Tunnel project as an example, based on the analysis of meteorological data of the project region in recent 41 years, the distribution law of tunnel temperature field under extreme meteorological conditions was analyzed by three-dimensional full-scale numerical simulation. The results show that the coldest month in Xinbin is dominated by azimuth wind from 12 to 15, and its duration basically follows lognormal distribution. There are significant differences in tunnel temperature field under different meteorological combination conditions, and the key point of anti-freezing fortifying in Xinbin tunnel is at the entrance. There is a great difference in temperature between the north and south near the entrance and exit of the tunnel by wind direction, and the temperature difference decreases gradually until it disappears with the increase of depth. The negative temperature area of surrounding rock near the entrance and exit gradually expands and its distribution becomes uneven with the ventilation time. The length and depth of the negative temperature area at the entrance of the tunnel increase nonlinearly with the ventilation time, and the increase rate tends to slow down.
作者
殷珂
赵立财
王瑞
张永辉
安学旭
YIN Ke;ZHAO Li-cai;WANG Rui;ZHANG Yong-hui;AN Xue-xu(School of Civil Engineering,Chang an University,Xi'an 710061,China;China Railway 19th Bureau Group Thrid Engineering Co.,Ltd,Shenyang 110136,China)
出处
《科学技术与工程》
北大核心
2022年第35期15756-15764,共9页
Science Technology and Engineering
基金
国家自然科学基金(41941019)
中铁十九局科技开发项目(1903-SYBHGC-2021-006)
中央高校基本科研业务费专项资金-学生创新实践能力提升子计划(300102282809)
长安大学大学生创新创业训练计划(X202210710534)。
关键词
季冻区
气象参数
隧道
温度场
负温区
seasonal freezing region
meteorological parameters
tunnel
temperature field
negative temperature area
