Research Article
Deformation Prediction and Analysis of Soft Rock Roadway with High Altitude and Large Buried Depth Based on Particle Swarm Optimization LSTM Model
Table 1
Statistical description of extracted rock mass attributes.
| Data type | Em (GPa) | UCS (MPa) | GSI | RQD (%) | Density (kg/m3) | Porosity (%) |
| Average value | 9.8 | 88.4 | 36.8 | 55.2 | 2.43 | 5.5 | Standard error | 0.56 | 2.4 | 0.49 | 0.94 | 0.02 | 0.24 | Median | 8.4 | 113.4 | 37.2 | 44.5 | 2.47 | 3.97 | Sample variance | 51.2 | 1562.7 | 57.8 | 402.3 | 0.09 | 10.2 | Minimum value | 2.3 | 7.4 | 16.4 | 12.4 | 2.16 | 0.15 | Maximum value | 17.5 | 102.6 | 46.8 | 97.5 | 2.51 | 13.5 |
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