Research Article
Prediction-Based Maintenance of Existing Bridges Using Neural Network and Sensitivity Analysis
Table 3
Scaled values of each influencing factor.
| | Factor | Original data range | After scaled | | Mean | Standard deviation |
| | Elevation (m) | −0.3∼1,106 | 0.0909 | 0.1347 | | Bridge length (m) | 2∼1,433 | 0.0444 | 0.0844 | | Bridge width (m) | 0.7∼50 | 0.2129 | 0.1124 | | Years in service (years) | 1∼84 | 0.3833 | 0.2008 | | Carbon dioxide (ppm) | 348.86∼409.87 | 0.3933 | 0.2413 | | Chloride (kg/m3) | 0∼17.3 | 0.057 | 0.1376 | | Large-size vehicles rate (%) | 0∼62.6 | 0.3076 | 0.1786 | | Traffic volume (daily) | 0∼56,874 | 0.0946 | 0.1143 | | Rainfall (cm) | 776∼1,491 | 0.3617 | 0.2268 | | Snowfall (cm) | 12.0∼1,263.8 | 0.4493 | 0.2166 | | Highest temperature (°C) | 16∼26 | 0.7025 | 0.1737 | | Lowest temperature (°C) | −11∼−3 | 0.5851 | 0.2361 |
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