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Full-field DIC-based model updating for localized parameter identification
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DOI：10.1016/j.ymssp.2021.108287.png)
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摘要
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Identifying the local properties of a structure, either to perform structural health monitoring or to fine tune a numerical model, requires the updating of a large number of parameters. With a high spatial density, but a low dynamic range response information, high-speed-camera measurements have the potential to identify a large number of localized parameters. In contrast, accelerometer measurements provide low-spatial-density modal shapes, but a high dynamic range, and introduce the problem of mass loading. In this research, modal shapes from a high-speed camera are used, providing full-field response information about the observed structure and an over-determined optimization problem. Since the high-speed camera has a lower dynamic range than the accelerometer and the signal-to-noise ratio is low where the displacement amplitude is small, location-specific weighting methods were introduced. The numerical and real experiments showed that the accelerometer's positioning is important for successful updating, while with a high-speed-camera measurement this is not relevant. This research showed that due to the spatial over-determination, the model updating based on highspeed-camera data, was significantly better than the low-spatial-resolution, accelerometer-based approach.
Keyword:
Full-field response
DIC
Finite-element-model updating
Localized parameters
期刊
IF:
8.9
论文数:
1.3W
被引数:
6.6W
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