Crack detection in Mindlin-Reissner plates under dynamic loads based on fusion of data and models
Abstract
In this paper, system identification is coupled with optimization-based damage detection to provide accurate localization of cracks in thin plates, under dynamic loading. Detection relies on exploitation of strain measurements from a network of sensors deployed onto the plate structure. The data-driven approach is based on the detection of discrepancies between healthy and damaged modal strain curvatures, while the model-based method exploits an...
Paper Details
Title
Crack detection in Mindlin-Reissner plates under dynamic loads based on fusion of data and models
Published Date
Apr 1, 2021
Journal
Volume
246
Pages
106475 - 106475
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