青岛地区隧道开挖引起地表沉降偏态分析及预测

doi:10.13722/j.cnki.jrme.2014.s2.078

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摘要为研究节理岩体开挖引起地表沉降规律及预测，以胶州湾隧道青岛接线端隧道开挖引起的地表沉降实测数据为例，建立考虑节理几何特征的地质数学模型，采用随机介质理论思想，分析单元开挖后上层岩块完全下落的概率分布，推导地表岩块概率分布函数，建立单元岩块沉降预测公式，进而根据洞周收敛监测结果，反演单元沉降系数，并利用该反演系数，对场区内隧道开挖引起地表沉降进行预测。结果表明，浅埋节理岩体隧道单元岩块开挖引起地表沉降概率分布符合离散的二项分布，当n≥10时，采用Gamma分布预测模型，通过与青岛市隧道开挖引起地表沉降实际监测数据比较，该模型计算结果与实际监测结果具有较好的一致性，对设计与施工监测具有一定的指导作用。

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	袁长丰
	袁子晋
	刘世波
	李国龙
	李亮

关键词 ：隧道工程, 硬岩隧道, 节理岩体, 地表沉降, 偏态, Gamma分布, 预测

Abstract：The laws and prediction of surface subsidence induced by jointed rock excavation are investigated based on the measured data of surface subsidence caused by tunnel excavation in the connection point of Qingdao Jiaozhou bay tunnel. Geological and mathematical models that considering the joint geometric forms are established. Using stochastic medium theory，probability of rock falling totally after unit excavation is analyzed. Meanwhile，probability distribution function of surface rock is deduced and settlement prediction formula of rock unit is established. According to the convergent monitoring results around the hole，sedimentation coefficient of rock unit is back analyzed by which surface subsidence caused by tunnel excavation on the field is forecasted. Results show that the surface subsidence rules caused by the shallow large-span hardrock tunnel excavation conform to the laws of discrete binomial distribution. The Gamma distribution prediction model is used when n≥10. Results from the model prediction agree well with those actual monitoring data of surface subsidence that caused by the Qingdao city subway tunnel excavation. The proposed model provides some insights for designing and construction monitoring.

Key words： tunnelling engineering hardrock tunnel jointed rock mass surface subsidence skewness Gamma distribution prediction

引用本文:

袁长丰，袁子晋，刘世波，李国龙，李亮. 青岛地区隧道开挖引起地表沉降偏态分析及预测[J]. 岩石力学与工程学报, 2014, 33(S2): 4014-4019.
YUAN Changfeng，YUAN Zijin，LIU Shibo，LI Guolong，LI Liang. SKEWNESS ANALYSIS AND FORECASTING OF SURFACE SUBSIDENCE CAUSED BY TUNNEL EXCAVATION IN QINGDAO. , 2014, 33(S2): 4014-4019.

链接本文:

https://rockmech.whrsm.ac.cn/CN/10.13722/j.cnki.jrme.2014.s2.078 或 https://rockmech.whrsm.ac.cn/CN/Y2014/V33/IS2/4014

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