Research Article
Modeling Punching Shear Capacity of Fiber-Reinforced Polymer Concrete Slabs: A Comparative Study of Instance-Based and Neural Network Learning
Table 4
The dataset of punching shear tests.
| | (mm2) | (mm) | (MPa) | (GPa) | (%) | (kN) |
| 1 | 10000 | 55 | 52.9 | 100 | 0.31 | 61 | 1 | 10000 | 55 | 41 | 100 | 0.31 | 65 | 1 | 5625 | 61 | 44.6 | 113 | 0.95 | 78 | 1 | 5625 | 61 | 42.4 | 113 | 0.95 | 93 | 1 | 10000 | 61 | 39 | 113 | 0.95 | 96 | 1 | 10000 | 61 | 36.6 | 113 | 0.95 | 99 | 1 | 40000 | 82 | 37.4 | 46 | 1.1 | 165 | 1 | 40000 | 142 | 33.3 | 45 | 0.22 | 170 | 1 | 40000 | 112 | 33 | 46 | 0.81 | 170 | 1 | 40000 | 129 | 39 | 48 | 0.48 | 180 | 1 | 62500 | 120 | 37.5 | 28.4 | 0.87 | 206 | 1 | 62500 | 100 | 26 | 42 | 0.95 | 210 | 1 | 40000 | 82 | 38.2 | 46 | 1.29 | 210 | 1 | 40000 | 129 | 39 | 48 | 0.68 | 212 | 1 | 62500 | 120 | 29.5 | 34 | 0.73 | 217 | 1 | 62500 | 100 | 35 | 42 | 1.05 | 218 | 1 | 50625 | 110 | 36.3 | 48.2 | 1.18 | 222 | 1 | 40000 | 142 | 34.7 | 110 | 0.18 | 229 | 1 | 40000 | 82 | 39.7 | 46 | 1.54 | 230 | 1 | 62500 | 75 | 45 | 100 | 1 | 234 | 1 | 40000 | 142 | 30.3 | 45 | 0.47 | 237 | 1 | 62500 | 100 | 29 | 42 | 1.67 | 240 | 1 | 50625 | 110 | 36.3 | 48.2 | 2.15 | 246 | 1 | 50625 | 110 | 36.3 | 48.2 | 3 | 248 | 1 | 40000 | 129 | 39 | 48 | 0.92 | 248 | 1 | 62500 | 100 | 40 | 42 | 1.18 | 249 | 1 | 62500 | 120 | 28.9 | 34 | 1.46 | 260 | 1 | 40000 | 142 | 46.6 | 45 | 0.47 | 271 | 1 | 62500 | 100 | 71 | 42 | 1.18 | 275 | 1 | 40000 | 142 | 29.6 | 110 | 0.43 | 317 | 1 | 90000 | 134 | 34.3 | 48.2 | 0.71 | 329 | 1 | 90000 | 134 | 38.6 | 48.2 | 0.71 | 386 | 1 | 202500 | 134 | 44.9 | 48.2 | 0.71 | 400 | 1 | 90000 | 131 | 38.6 | 48.1 | 1.56 | 431 | 1 | 90000 | 131 | 37.5 | 64.9 | 1.21 | 438 | 1 | 90000 | 131 | 32.4 | 48.1 | 1.56 | 451 | 1 | 202500 | 131 | 32.4 | 48.1 | 1.56 | 504 | 1 | 202500 | 131 | 39.4 | 48.1 | 1.56 | 511 | 1 | 90000 | 131 | 75.8 | 57.4 | 1.56 | 547 | 1 | 90000 | 284 | 39.4 | 48.2 | 0.34 | 781 | 1 | 90000 | 284 | 34.3 | 48.2 | 0.34 | 825 | 1 | 202500 | 284 | 48.6 | 48.2 | 0.34 | 911 | 1 | 202500 | 284 | 32.4 | 48.2 | 0.34 | 1020 | 1 | 90000 | 281 | 29.6 | 48.1 | 0.73 | 1027 | 1 | 90000 | 281 | 39.4 | 48.1 | 0.73 | 1071 | 1 | 90000 | 281 | 46.7 | 48.1 | 0.73 | 1195 | 1 | 90000 | 281 | 46.7 | 48.1 | 0.73 | 1195 | 1 | 202500 | 281 | 29.6 | 48.1 | 0.73 | 1248 | 1 | 90000 | 275 | 38.2 | 56.7 | 1.61 | 1492 | 1 | 90000 | 275 | 75.8 | 56.7 | 1.61 | 1600 | 2 | 17671 | 95 | 32.6 | 147.6 | 0.19 | 142 | 2 | 41548 | 95 | 33.2 | 147.6 | 0.19 | 150 | 2 | 5027 | 89 | 35.9 | 40.7 | 3.78 | 171 | 2 | 17671 | 96 | 36.7 | 91.8 | 0.26 | 181 | 2 | 41548 | 96 | 37.3 | 91.8 | 0.26 | 189 | 2 | 17671 | 95 | 118 | 37.3 | 0.64 | 207 | 2 | 5027 | 122 | 32.1 | 44.8 | 1.21 | 217 | 2 | 17671 | 89 | 35.8 | 40.7 | 3.78 | 231 | 2 | 17671 | 122 | 32.1 | 44.8 | 1.21 | 237 | 2 | 17671 | 95 | 35.7 | 95 | 1.05 | 255 | 2 | 41548 | 95 | 36.3 | 95 | 1.05 | 273 | 2 | 41548 | 126 | 34.3 | 92 | 0.52 | 343 | 2 | 17671 | 126 | 33.8 | 92 | 0.52 | 347 | 3 | 150000 | 110 | 35.2 | 43 | 1.2 | 362 | 3 | 150000 | 135 | 35.2 | 43 | 1.2 | 484 | 3 | 150000 | 137 | 53.1 | 43 | 0.35 | 506 | 3 | 150000 | 140 | 40.3 | 122 | 0.4 | 530 | 3 | 37500 | 162 | 42 | 85 | 0.28 | 534 | 3 | 150000 | 135 | 53.1 | 43 | 0.7 | 549 | 3 | 37500 | 162 | 42 | 85 | 0.28 | 575 | 3 | 37500 | 162 | 42 | 85 | 0.28 | 584 | 3 | 37500 | 162 | 42 | 85 | 0.28 | 622 | 3 | 150750 | 165 | 49.6 | 122.5 | 0.35 | 674 | 3 | 37500 | 162 | 42 | 85 | 0.28 | 698 | 3 | 150000 | 135 | 64.8 | 43 | 1.2 | 704 | 3 | 150250 | 159 | 44.3 | 38.5 | 1.99 | 712 | 3 | 150500 | 156 | 49.2 | 46.5 | 1.21 | 732 | 3 | 150000 | 159 | 49.6 | 44.6 | 1 | 740 | 3 | 151000 | 165 | 44.3 | 122.5 | 0.69 | 799 | 3 | 129375 | 165 | 59 | 147 | 0.57 | 1000 | 3 | 129375 | 165 | 59 | 147 | 0.57 | 1200 | 3 | 129375 | 165 | 59 | 147 | 0.57 | 1328 |
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