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 typeEm (GPa)UCS (MPa)GSIRQD (%)Density (kg/m3)Porosity (%)

Average value9.888.436.855.22.435.5
Standard error0.562.40.490.940.020.24
Median8.4113.437.244.52.473.97
Sample variance51.21562.757.8402.30.0910.2
Minimum value2.37.416.412.42.160.15
Maximum value17.5102.646.897.52.5113.5