基于随机森林算法的砂土液化预测方法
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彭刘亚, 解惠婷, 冯伟栋
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The method of predict sand liquefaction based on random forest algorithm
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PENG Liu-Ya, XIE Hui-Ting, FENG Wei-Dong
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表1 砂土液化训练样本集
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Table 1 Training dataset of sand liquefaction
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序号 | 判别指标 | 液化情况 | I | L/km | D50/mm | Cu | dw/m | ds/m | N63.5/击 | τd/ | 1 | 7 | 68.6 | 0.410 | 2.90 | 1.09 | 4.15 | 5 | 0.1000 | 1 | 2 | 7 | 83.3 | 0.187 | 4.00 | 1.20 | 2.45 | 8 | 0.0900 | 1 | 3 | 7 | 83.3 | 0.111 | 2.02 | 0.80 | 1.35 | 6 | 0.0800 | 1 | ? | ? | ? | ? | ? | ? | ? | ? | ? | ? | 19 | 7 | 79.0 | 0.120 | 1.55 | 1.37 | 3.60 | 19 | 0.0940 | 0 | 20 | 7 | 81.2 | 0.160 | 2.67 | 1.05 | 4.30 | 12 | 0.1050 | 0 | ? | ? | ? | ? | ? | ? | ? | ? | ? | ? | 26 | 8 | 116.4 | 0.200 | 2.70 | 1.60 | 8.70 | 8 | 0.2120 | 1 | 27 | 8 | 116.4 | 0.170 | 1.91 | 3.30 | 5.80 | 5 | 0.1600 | 1 | ? | ? | ? | ? | ? | ? | ? | ? | ? | ? | 43 | 8 | 70.9 | 0.300 | 2.43 | 2.30 | 12.30 | 13 | 0.2030 | 0 | 44 | 8 | 47.0 | 0.310 | 2.42 | 2.00 | 3.46 | 8 | 0.1630 | 0 | 45 | 8 | 117.0 | 0.073 | 7.50 | 1.53 | 11.90 | 26 | 0.2170 | 0 | ? | ? | ? | ? | ? | ? | ? | ? | ? | ? | 50 | 9 | 22.0 | 0.200 | 1.94 | 0.43 | 2.61 | 10 | 0.4620 | 1 | 51 | 9 | 22.0 | 0.240 | 2.08 | 1.15 | 4.50 | 22.2 | 0.4150 | 1 | ? | ? | ? | ? | ? | ? | ? | ? | ? | ? | 62 | 9 | 14.0 | 0.160 | 2.25 | 4.90 | 9.38 | 61 | 0.3180 | 0 | 63 | 9 | 9.6 | 0.210 | 3.15 | 3.50 | 8.35 | 31 | 0.3470 | 0 | 64 | 9 | 11.0 | 0.160 | 2.76 | 4.50 | 4.50 | 22 | 0.2480 | 0 |
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