Research Article
Application of Feedforward Neural Network and SPT Results in the Estimation of Seismic Soil Liquefaction Triggering
Table 2
Summary of the statistical information of the database used in the present study.
| Unit | FC | D50 | PGA | rd | CSR | (N1)60 | — | (%) | — | (mm) | — | — |
| Count | 270 | 270 | 270 | 270 | 270 | 270 | Liquefied | Min | 0 | 0.00 | 0.09 | 0.57 | 0.09 | 2.20 | Mean | 22.84 | 0.21 | 0.32 | 0.90 | 0.28 | 10.04 | Max | 91 | 2.00 | 1.00 | 1.00 | 0.82 | 25.40 | SD | 16.90 | 0.23 | 0.19 | 0.08 | 0.15 | 4.79 | Q1 | 10 | 0.10 | 0.20 | 0.86 | 0.18 | 6.60 | Median | 20 | 0.15 | 0.23 | 0.92 | 0.23 | 8.94 | Q3 | 31.75 | 0.24 | 0.42 | 0.96 | 0.35 | 12.40 |
| Count | 216 | 216 | 216 | 216 | 216 | 216 | Nonliquefied | Min | 0 | 0.00 | 0.06 | 0.49 | 0.04 | 0.93 | Mean | 19.21 | 0.20 | 0.24 | 0.89 | 0.21 | 20.15 | Max | 91 | 1.60 | 1.00 | 1.00 | 0.72 | 65.50 | SD | 15.96 | 0.19 | 0.18 | 0.09 | 0.14 | 11.64 | Q1 | 9 | 0.10 | 0.12 | 0.85 | 0.12 | 11.83 | Median | 16 | 0.17 | 0.16 | 0.89 | 0.14 | 19.21 | Q3 | 25.44 | 0.22 | 0.12 | 0.90 | 0.13 | 20.72 |
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