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1 UT based visual inspection 2 Silver bridge collapse, Ohio (Figures adapted from NDT resource center)

1 UT based visual inspection 2 Silver bridge collapse, Ohio (Figures adapted from NDT resource center)

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Figure 0.1 Hierarchy of AI, ML and DL algorithms (adapted from [13])
Figure 0.3 First 5 bending modes, as considered by Mehrjoo et al.[17]
Figure 0.1 Procedure of model updating as adapted from [25]
Figure 0.3 4 support damage introduction in the beam adapted from [25]
+9 Figure 0.4 Elemental change in stiffness, white zone indicating damage[25]
COMPARISON OF STATE-OF-THE-ART MACHINE LEARNING BASED DATA DRIVEN AND MODEL UPDATING METHODS AGAINST SHALLOW AND DEEP CONVOLUTIONAL NEURAL NETWORKS METHODS OF STRUCTURAL DAMAGE DETECTION
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  • Jan 2021
Traditional methods of damage detection on civil structures included approaches depended on human judgement and hence required highly skilled persons. Thus to overcome this problem of damage detection, Machine Learning (ML) algorithms were introduced which were more diligent than the traditional methods and Deep Learning algorithms are usually a su...
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... the experimental modal analysis was coordinated by measuring the frequency response functions when the structure was excited by a hammer impact vibration. In the analytical analysis the natural frequencies and mode shapes were extracted .Thus as shown (in Fig 5.1), the modal result data from the experimental and analytical model were taken and compared with correlation techniques and it is shown (in Table 5 3 different updating method parameters were chosen. The third model updating is conducted to identify the damage which has been introduced in the structure, the structure was intentionally damaged with damage introduced by reducing the section by 1mm height and 12.5mm length as shown (in Fig 5.3) and stiffness matrix were chosen as the updating parameters and the stiffness change in the structure indicates damage as shown (in Fig 5.4) where the process of model updating indicated the white zone as the damaged portion. ...

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... Nowadays, many efforts are being made to identify oil spills based on AI. Fig. 1 illustrates the relationship among AI, ML and DL [18]. AI provides unrivaled prospects to numerous sectors and enterprises to improve their performance. ...
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