大型地下洞室围岩分类相关性分析及应用

CORRELATION OF ROCK MASS CLASSIFICATIONS SURROUNDING LARGE UNDERGROUND CAVERN AND APPLICATION

大型地下洞室岩体质量受诸多因素影响,围岩分类相对复杂,综合运用几种围岩分类方法有利于准确确定围岩的综合类别。在试验资料和长期现场地质工作的基础上,利用RMR、Q、HC、BQ及RMi分类方法,对大岗山水电站代表性洞室—主厂房围岩进行分类,并通过对分类结果的回归分析,得出Q值与RMR值、HC值,RMi值与HC值、RMi值与RMR值呈指数关系,相关系数依次为0.91、0.82、0.87、0.94;Q值与RMi值呈乘幂关系,RMR值与HC值呈线性关系,相关系数分别为0.90、0.85;[BQ]值与HC值、RMR值呈线性关系,而与Q值、RMi值分别呈指数、对数关系,相关系数依次为0.49、0.38、0.38、0.40。研究结果表明,RMR、Q、HC及RMi分类方法相关性好,可互相补充、验证,有效应用于工程实践中;BQ分类与另4种分类相关性较差,在该水电站及类似工程中适用性相对较小。

The rock mass quality surrounding large underground cavern is affected by many factors.The rock classification is relatively complex.Using several rock classification methods synthetically is propitious to accurately determine the integrated category of the surrounding rocks.The classifications called RMR,Q,HC,BQ and RMi are used to classify the rocks of the main workshop on the basis of the experimental data and long-term field geological work.The workshop is the representative cavern of Dagangshan hydropower station.The study is conducted by means of regression analysis.The results show that among Q value,RMR value,and HC value there are exponential relations.The same circs also appears between RMi value and HC value,between RMi value and RMR value.The correlation coefficients for each of the pairs are 0.91,0.82,0.87,0.94 respectively.Meanwhile,Q value and RMi value,RMR value and HC value have shown power relations,linear relations respectively.Accordingly,the correlation coefficients between each of them are 0.90 and 0.85 respectively.Between BQ value and HC value,the RMR value show linear relations,while between BQ value and Q value,the RMi value show exponential relation and logarithmic relation in sequence.The correlation coefficients between each of them are 0.49,0.38,0.38,and 0.40 respectively.The results also show that the correlation of RMR,Q,HC,and RMi classification are close related.They can complement and verify each other.They can be effectively applied to engineering practice.The BQ classification has poor correlation with the other four kinds of classification,so it is not very suitable to be used in the power station and similar projects.