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)CaseDamage severity @ element numberDamage severity @ bearing numberDetection goalIdentification results

15.5D-1(a)5% @ 12/E5.12% @ 12
D-1(b)5% @ 1230% @ 1#B29.94% @ 1#
D-1(c)5% @ 1230% @ 1#E and B5.25% @ 12
31.89% @ 1#
D-1(d)5% @ 1230% @ 1#
50% @ 2#
E and B5.21% @ 12
30.10% @ 1#
49.48% @ 2#
28.9D-2(a)10% @ 12/E10.1% @ 12
D-2(b)10% @ 1230% @ 1#B29.99% @ 1#
D-2(c)10% @ 1230% @ 1#E and B10.09% @ 12
29.99% @ 1#
D-2(d)10% @ 1230% @ 1#
50% @ 2#
E and B9.85% @ 12
30.61% @ 1#
49.52% @ 2#
26.1D-3(a)32% @ 12/E32.28% @ 12
D-3(b)32% @ 1230% @ 1#B30.05% @ 1#
D-3(c)32% @ 1230% @ 1#E and B31.04% @ 12
26.80% @ 1#
D-3(d)32% @ 1230% @ 1#
50% @ 2#
E and B31.56% @ 12
30.95%@ 1#
49.51% @ 2#
20.0D-4(a)92% @ 12/E91.77% @ 12
D-4(b)92% @ 1230% @ 1#B30.07% @ 1#
D-4(c)92% @ 1230% @ 1#E and B92.88% @ 12
26.93% @ 1#
D-4(d)92% @ 1230% @ 1#
50% @ 2#
E and B92.20% @ 12
21.38% @ 1#
54.84% @ 2#

Note: E and B denote the element damage and bearing damage, respectively.