Research Article
Bearing Damage Detection of a Bridge under the Uncertain Conditions Based on the Bayesian Framework and Matrix Perturbation Method
Table 4
Damage cases and identification results of the I-40 bridge.
| Ambient temperature (°C) | Case | Damage severity @ element number | Damage severity @ bearing number | Detection goal | Identification results |
| 15.5 | D-1(a) | 5% @ 12 | / | E | 5.12% @ 12 | D-1(b) | 5% @ 12 | 30% @ 1# | B | 29.94% @ 1# | D-1(c) | 5% @ 12 | 30% @ 1# | E and B | 5.25% @ 12 31.89% @ 1# | D-1(d) | 5% @ 12 | 30% @ 1# 50% @ 2# | E and B | 5.21% @ 12 30.10% @ 1# 49.48% @ 2# | 28.9 | D-2(a) | 10% @ 12 | / | E | 10.1% @ 12 | D-2(b) | 10% @ 12 | 30% @ 1# | B | 29.99% @ 1# | D-2(c) | 10% @ 12 | 30% @ 1# | E and B | 10.09% @ 12 29.99% @ 1# | D-2(d) | 10% @ 12 | 30% @ 1# 50% @ 2# | E and B | 9.85% @ 12 30.61% @ 1# 49.52% @ 2# | 26.1 | D-3(a) | 32% @ 12 | / | E | 32.28% @ 12 | D-3(b) | 32% @ 12 | 30% @ 1# | B | 30.05% @ 1# | D-3(c) | 32% @ 12 | 30% @ 1# | E and B | 31.04% @ 12 26.80% @ 1# | D-3(d) | 32% @ 12 | 30% @ 1# 50% @ 2# | E and B | 31.56% @ 12 30.95%@ 1# 49.51% @ 2# | 20.0 | D-4(a) | 92% @ 12 | / | E | 91.77% @ 12 | D-4(b) | 92% @ 12 | 30% @ 1# | B | 30.07% @ 1# | D-4(c) | 92% @ 12 | 30% @ 1# | E and B | 92.88% @ 12 26.93% @ 1# | D-4(d) | 92% @ 12 | 30% @ 1# 50% @ 2# | E and B | 92.20% @ 12 21.38% @ 1# 54.84% @ 2# |
|
|
Note: E and B denote the element damage and bearing damage, respectively.
|