Research Article
Cubic Function-Based Bayesian Dynamic Linear Prediction Approach of Bridge Extreme Stress
Table 1
Dynamic monitored extreme stresses [
9,
14].
| Time (day) | Stress σ (MPa) |
| | 25.23 | | 21.67 | | 19.53 | | 20.50 | | 24.44 | | 22.66 | | 25.95 | | 27.65 | | 25.26 | | 21.40 | | 21.48 | | 20.06 | | 20.60 | | 22.56 | | 23.54 | | 20.94 | | 19.16 | | 22.47 | | 23.37 | | 20.99 | | 24.15 | | 21.22 | | 22.02 | | 24.80 | | 22.51 | | 21.57 | | 21.67 | | 19.16 | | 21.67 | | 23.99 | | 21.05 | | 23.35 | | 22.66 | | 24.61 | | 25.77 | | 26.54 | | 22.83 | | 21.05 | | 24.44 | | 28.80 | | 20.24 | | 29.97 | | 24.17 | | 23.72 | | 26.85 | | 25.32 | | 26.93 | | 25.06 | | 23.01 | | 22.02 | | 23.90 | | 20.10 | | 25.24 | | 25.77 | | 27.11 | | 23.72 | | 22.65 | | 24.89 | | 27.56 | | 25.86 | | 24.61 | | 22.11 | | 21.22 | | 25.15 | | 24.64 | | 23.18 | | 21.94 | | 21.82 | | 22.66 | | 21.57 | | 29.16 | | 21.57 | | 22.92 | | 21.94 | | 21.14 | | 20.41 | | 22.76 | | 22.38 | | 25.21 | | 24.98 | | 23.82 | | 26.44 |
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