Research Article

An Improved Monte Carlo Method Based on Neural Network and Fuzziness Analysis: A Case Study of the Nanpo Dump of the Chengmenshan Copper Mine

Table 1

Statistics of rock and soil parameters.

NumberSoil-rock mixtureBasement rock
Cohesion c (kPa)Internal friction angle Bulk density Cohesion c (kPa)Internal friction angle Bulk density

Original 20 samples138.323.517.391317.126.5
241.420.516.9918.8217.6622.07
339.926.217.1914.517.2722.24
434.320.417.6909.816.8722.82
538.12518.3904.114.9419.16
643.12417.1912.818.42227.76
741.524.117.0915.518.2125.31
836.42217.6910.714.7522.93
9452519.7909.216.7827.61
1041.425.9617.290218.03520.834
1143.42617.83914.714.80727.83
1238.220.116.16909.716.97627.79
1340.519.817.92907.919.5518.98
1444.323.716.0792619.818.55
1532.423.317.988217.124.37
1637.82417.64919.716.7824.06
1735.623.514.7900.613.0725.3
1835.62217.3911.917.5825.29
1935.820.517.6917.213.5922.69
2036.123.9622.22917.817.124.53

14 sets of samples after expansion213624.319.9288615.224.7
2246.919.816.4892.213.327.9
2341.919.6919.42931.119.7424.23
2436.42718.8908.518.8718.08
2538.824.713.9919.212.9725.81
2632.222.722.1923.412.8719.6
2742.119.9417.4882.717.9221.23
2833.823.2814.62918.315.8117.81
2943.425.6115.4898.520.1218.3
3037.319.8423.1902.917.3823.5
3139.923.2817.73916.619.328.5
3239.526.3122.54913.817.218.7
3340.322.918.18920.816.428.3
3442.725.416.81881.220.0326.9

34 sets of samples after expansionMean39.223.3917.86909.216.8623.53
Standard deviation3.692.202.1212.362.093.37

Original 20 samplesMean3923.1817.64908.716.7823.7
Standard deviation3.4522.016.252.023.23