基于现场实测数据统计的隧道围岩压力分布规律研究

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摘要围岩压力作用模式和时空演化规律是隧道支护结构设计的核心内容，一直是地下工程界研究的热点问题之一。在总结隧道围岩压力类型和主要影响因素的基础上，通过对44座隧道91个监测断面围岩压力的统计分析，研究隧道围岩压力的总体分布特征及其与围岩级别、隧道埋深的关系，讨论竖向、侧向围岩压力及侧压力系数随隧道埋深增大的变化规律。基于现场监测数据的统计分析，研究隧道围岩压力时程变化的基本规律，将隧道围岩压力随时间变化划分为快速增长–缓慢增长–趋于稳定的3个阶段，其中快速增长阶段多集中在隧道开挖后无支护或支护结构尚未完全发挥作用的一段时间；讨论隧道围岩压力沿洞周的分布规律和不均匀系数的分布特征。研究结论为分析隧道围岩压力作用机制和完善支护结构设计方法具有一定的参考价值。

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关键词 ：隧道工程, 围岩压力, 现场监测, 时程曲线, 空间分布

Abstract：The action mode and space-time evolution laws of surrounding rock pressure are the core contents of tunnel supporting structure design，which are hot issues in underground engineering research. Based on the summary of main types and influencing factors of tunnel surrounding rock pressure and the statistical analysis of surrounding rock pressure of 91 monitoring sections in 44 tunnels，the population distribution characteristics of surrounding rock pressure and their relationships with surrounding rock grade and buried depth of tunnel are studied. Then the variation law of rock pressure and lateral pressure coefficient with the increase in buried depth is discussed. Based on the statistical analysis of field monitoring data of rock pressure，the basic law of rock pressure time-history is studied. Three stages including rapid growth-slowly growth-settle out is put forward；and the rapid growth stage is mostly the time during unsupported or without effect of support after tunnel excavation. Finally，the distribution laws of rock pressure along the tunnel and the feature of nonuniformity coefficient are discussed. The results offer some references for analyzing the pressure mechanism of tunnel surrounding rock and perfecting the design method of supporting structure.

Key words： tunnelling engineering surrounding rock pressure field monitoring time-history curves space distribution

收稿日期: 2012-08-30

引用本文:

李鹏飞1，2，3，赵勇1，张顶立2，伍冬2. 基于现场实测数据统计的隧道围岩压力分布规律研究[J]. 岩石力学与工程学报, 2013, 32(7): 1392-1399.
LI Pengfei1，2，3，ZHAO Yong1，ZHANG Dingli2，WU Dong2. STUDY OF DISTRIBUTION LAWS OF TUNNEL SURROUNDING ROCK PRESSURE BASED ON FIELD MEASURED DATA STATISTICS. , 2013, 32(7): 1392-1399.

链接本文:

http://www.rockmech.org/CN/Y2013/V32/I7/1392

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