基于隧道掘进机掘进过程的岩体状态感知方法
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张娜,李建斌,荆留杰,杨晨,陈帅
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Prediction method of rockmass parameters based on tunnelling process of tunnel boring machine
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Na ZHANG,Jian-bin LI,Liu-jie JING,Chen YANG,Shuai CHEN
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| 表 7 花岗岩岩体状态感知 |
| Tab.7 Prediction of rockmass parameters by stepwise regression algorithm in granite strata |
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| 环号 | UCSa/MPa | Jva/
（条·m−3） | 围岩等级 | a | b | UCSc/MPa | Jvc/
（条·m−3） | FPI/
（kN·mm−1） | TPI/
（kN·mm−1） | 聚类法围
岩等级 | BQ围岩
分级 | 实际围岩
等级 | | S2003 | 228.95 | 6.7 | II | 13.20 | 183.21 | 200.86 | 5.86 | 79.24 | 18.84 | II | II | II | | S2025 | 236.79 | 26.7 | IV | 9.47 | 150.51 | 269.14 | 22.71 | 52.53 | 13.22 | IV | IV | IV | | S2052 | 176.86 | 0 | I | 15.29 | 200.71 | 197.21 | 0 | 121.08 | 16.92 | I | I | I | | S2104 | 177.04 | 4.5 | II | 13.78 | 187.35 | 195.62 | 3.96 | 95.63 | 16.47 | II | I | II | | N1649 | 147.02 | 14 | III | 11.45 | 147.14 | 132.49 | 12.41 | 62.76 | 13.87 | III | III | III | | N1690 | 240.3 | 5.3 | II | 13.16 | 188.83 | 224.76 | 5.97 | 101.99 | 18.55 | II | II | II |
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