| 基于现场位移监测数据统计分析的隧道
围岩稳定性研究 |
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| 引用本文： | 吴秋军,王明年,刘大刚.基于现场位移监测数据统计分析的隧道
围岩稳定性研究[J].岩土力学,2012,33(Z2):359-364. |
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| 作者姓名： | 吴秋军 王明年 刘大刚 |
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| 作者单位： | 西南交通大学 土木工程学院，成都 610031 |
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| 基金项目： | 铁道部重大研究计划项目资助(No.2009G005) |
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| 摘 要： | 在隧道施工过程中，位移监测数据常作为现场判定围岩稳定性的最重要依据，很多时候甚至是惟一的依据。但是，在我国的隧道设计过程中，目前还没有建立基于位移的隧道围岩稳定性判别基准，主要原因是不同岩性、不同地质环境下，围岩的位移差距可能很大。此外，洞形、跨度、埋深等因素都可能会影响围岩位移的大小。不过，通过对现场的监测位移数据进行统计分析表明，在一般围岩条件下，对于同一级别的围岩，其相对位移值分布在相对较窄的范围内，而对不同级别的围岩，其相对位移值则有较为明显的差异。基于这一特性，可针对不同级别的围岩，通过现场位移监测数据进行统计分析方法建立围岩稳定性的判别基准，并作为围岩分级的基本依据。随着以新奥法和控制围岩变形为主旨思想的矿山法在高速铁 路、高速公路隧道的大量应用，这种基于相对位移的围岩判别标准及分级方法将隧道设计更加符合当前的隧道施工技术水 平。
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| 关 键 词： | 隧道 位移监测 围岩稳定性 统计分析 判别基准 |
| 收稿时间： | 2012-05-27 |
Research on stability of tunnel surrounding rocks based on statistical analysis of on-site displacement monitoring data |
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| WU Qiu-jun,WANG Ming-nian,LIU da-gang.Research on stability of tunnel surrounding rocks based on statistical analysis of on-site displacement monitoring data[J].Rock and Soil Mechanics,2012,33(Z2):359-364. |
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| Authors: | WU Qiu-jun WANG Ming-nian LIU da-gang |
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| Institution: | School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China |
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| Abstract: | In the tunnel construction process, the displacement monitoring data are usually used as the most important basis for identifying the stability of the surrounding rock, and sometimes even the only one. However, in the tunnel design process, no displacement criterion is established for identifying the stability of the surrounding rock, for the large differences among surrounding rocks with different lithology and geological environments. Furthermore, shape, span and burial depth of the tunnel would probably also effect the displacement of the surrounding rock. On the other hand, statistical analysis of the on-site displacement data indicate that under general conditions of surrounding rock, the relative displacement value of the same grade rock has obvious cohesion compared with obvious differences between the relative displacements values of the different grades. With this characteristic, an identifying rule of stability can be setup for all grades of surrounding rocks with statistical analysis of the on-site displacement data; and then the rule can be used for classification of surrounding rocks. With the wide application of mining method based on the main thought of the new Austrian tunneling method(NATM) and controlling displacement of surrounding rocks in the construction of high-speed railway and expressway tunnels; the above identifying rule of stability and classification method of surrounding rocks will more in line with current technological level of tunnel construction. |
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| Keywords: | tunnel displacement monitoring stability of surrounding rock statistical analysis identifying rule |
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