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This is specifically evident for the sensors that are located close to the damage location.
The results from horizontal damage location indicate that the crushed region of the impacted vehicle is located mainly in forward of C-pillar in real-world nearside impact crashes; there are only a few possibilities in rearward of C-pillar.
This paper proposes a methodology for developing multi-site damage location systems for engineering structures that can be trained using single-site damaged state data only.
They used support vector classification to predict the damage location.
To find damage intensity averaged over damage location.
Therefore, many researchers have focused on identifying the damage location.
It is found that damage location, damage extent, and vibration measurement noise significantly impact interpretation of the inferred damage location.
The percentage error is calculated as follows: % error = Damage location predicted − Damage location actual Length of beam × 100 Open image in new window (17).
Open image in new window Figure 6 Error in damage location prediction for noise-free data.
From cross-correlation analysis, the damage location and extent can be determined.
In order to find the damage location, non-destructive and destructive methods have been carried out.
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