Damage detection in beam-like structures using static shear energy redistribution
Xi PENG1,2, Qiuwei YANG1,2()
1. School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China 2. Engineering Research Center of Industrial Construction in Civil Engineering of Zhejiang, Ningbo University of Technology, Ningbo 315211, China
In this study, a static shear energy algorithm is presented for the damage assessment of beam-like structures. According to the energy release principle, the strain energy of a damaged element suddenly changes when structural damage occurs. Therefore, the change in the static shear energy is employed to determine the damage locations in beam-like structures. The static shear energy is derived from the spectral factorization of the elementary stiffness matrix and structural deflection variation. The advantage of using shear energy as opposed to total energy is that only a few deflection data points of the beam structure are required during the process of damage identification. Another advantage of the proposed approach is that damage detection can be performed without establishing a structural finite-element model in advance. The proposed technique is first validated using a numerical example with single, multiple, and adjacent damage scenarios. A channel steel beam and rectangular concrete beam are employed as experimental cases to further verify the proposed approach. The results of the simulation and experiment examples indicate that the proposed algorithm provides a simple and effective method for defect localization in beam-like structures.
standard deviation of the damage indices for elements 1–9 ()
scenario 1
0.1478
0.0423
0.0455 > 0
scenario 2
0.3468
0.0743
0.0451 > 0
scenario 3
0.5948
0.0862
0.3322 > 0
scenario 4
0.9288
0.0879
0.6326 > 0
Tab.3
damage case
mean of the damage indices for elements 11–20 ()
standard deviation of the damage indices for elements 11–20 ()
scenario 1
−0.1305
0.0529
−0.053 < 0
scenario 2
−0.32
0.0783
0.164 > 0
scenario 3
−0.5355
0.0441
0.4072 > 0
scenario 4
−0.8392
0.0649
0.6771 > 0
Tab.4
damage case
mean of the damage indices for elements 1–5 ()
standard deviation of the damage indices for elements 1–5 ()
case 5
0.3892
0.009
0.1512 > 0
case 6
1.3926
0.0478
0.7871 > 0
Tab.5
damage case
mean of the damage indices for elements 7–14 ()
standard deviation of the damage indices for elements 7–14 ()
case 5
−0.0176
0.0558
0.0612 > 0
case 6
−0.1671
0.0867
0.3692 > 0
Tab.6
damage case
mean of the damage indices for elements 7–14 ()
standard deviation of the damage indices for elements 7–14 ()
case 5
−0.0176
0.0558
0.0109 > 0
case 6
−0.1671
0.0867
0.2392 > 0
Tab.7
Fig.8
damage case
mean of the damage indices for elements 16–20 ()
standard deviation of the damage indices for elements 16–20 ()
case 5
−0.3641
0.165
0.1187 > 0
case 6
−1.0845
0.0233
0.3482 > 0
Tab.8
Fig.9
number
mean of the damage indices for elements 1–11 ()
standard deviation of the damage indices for elements 1–11 ()
element 12
0.3447
0.0408
0.0969 > 0
Tab.9
number
mean of the damage indices for elements 14−20 ()
standard deviation of the damage indices for elements 14−20 ()
element 13
−0.5098
0.0250
0.1164 > 0
Tab.10
segment number (left-to-right)
damage index
1
0.0015
2
0.0014
3
−0.0002
4
−0.0014
5
−0.0013
Tab.11
segment number
damage index
1
0.6853
2
0.6973
3
0.7267
4
−0.2040
5
−0.1787
6
−0.5200
7
−0.5960
8
−0.6107
Tab.12
number
mean of the damage indices for elements 1−3 ()
standard deviation of the damage indices for elements 1−3 ()
segment 4
7.0311 × 10−5
2.1264 × 10−6
8.4332 × 10−5 > 0
Tab.13
number
mean of the damage indices for elements 6–8 ()
standard deviation of the damage indices for elements 6–8 ()
segment 5
−5.7556 × 10−5
4.8668 × 10−6
2.5088 × 10−5 > 0
Tab.14
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