Research Article
The Prediction of Steel Bar Corrosion Based on BP Neural Networks or Multivariable Gray Models
Table 2
The practical engineering data (Liaoning Benxi and Shanxi steel plant).
| Data group | η (mm) | ω (mm) | fcu (MPa) | c (mm) | d (mm) |
| 1 | 6.84 | 0.18 | 21.21 | 15 | 22 | 2 | 14.51 | 0.25 | 21.63 | 17 | 20 | 3 | 24.53 | 0.333 | 26.58 | 30 | 18 | 4 | 35.64 | 0.667 | 29.86 | 30 | 22 | 5 | 15.7 | 0.5 | 22.34 | 55 | 30 | 6 | 4 | 0.75 | 31.76 | 14 | 30 | 7 | 35.3 | 0.667 | 21.21 | 30 | 25 | 8 | 14.8 | 1.1 | 25.68 | 15 | 20 | 9 | 18.6 | 0.667 | 20.31 | 12 | 25 | 10 | 21.1 | 0.667 | 23.88 | 16 | 25 | 11 | 7.04 | 0.85 | 18 | 17.3 | 12 | 12 | 9.6 | 2 | 18 | 15.4 | 12 | 13 | 4.2 | 1.8 | 18 | 12.1 | 12 | 14 | 10.92 | 0.5 | 18 | 14.8 | 12 | 15 | 9.7 | 0.5 | 20 | 20 | 8 | 16 | 14.45 | 0.225 | 20 | 20 | 8 | 17 | 7.33 | 0.3 | 20 | 40 | 12 | 18 | 8.52 | 0.35 | 10 | 20 | 12 | 19 | 6.37 | 0.25 | 20 | 10 | 12 | 20 | 6.72 | 1.15 | 18 | 15.7 | 12 | 21 | 4.88 | 0.3 | 20 | 20 | 12 | 22 | 21.2 | 0.7 | 28.21 | 30 | 25 | 23 | 13.1 | 0.5 | 22.31 | 33.5 | 30 | 24 | 7.44 | 0.2 | 21.21 | 20 | 20 | 25 | 20.6 | 1 | 21.64 | 30 | 28 | 26 | 14.05 | 0.6 | 30.54 | 18 | 12 | 27 | 7.68 | 0.9 | 18 | 13.1 | 12 | 28 | 8.32 | 1.5 | 18 | 11.7 | 12 | 29 | 5.85 | 0.3 | 20 | 20 | 16 |
|
|