Abstract
The detection of cracks is a fundamental task for maintaining the security of a concrete bridge. The data used in our analysis are gathered from four-point bending test of a concrete beam that serves as a simplified model of a bridge. In this paper, we present a preliminary study using a new method for identifying cracks in strain measurements obtained by fiber optical sensors. The proposed approach consists of three main phases: in the first part, the data are decomposed considering the usual deformation of the beam; in the second, we statistically analyse the difference curve obtained by subtracting the fit of the previous step and the real one to detect outliers relative to crack regions. Lastly, by applying the K-means algorithm it is possible to find the center of each crack. The results obtained confirm the accuracy of the considered method in identifying cracks from fiber Bragg strain measurements.
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This research is funded by dtec.bw - Digitalization and Technology Research Center of the Bundeswehr project RISK.twin.
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Milani, R., Sahin, T., Danwitz, M.v., Moll, M., Popp, A., Pickl, S. (2023). Automatic Concrete Bridge Crack Detection from Strain Measurements: A Preliminary Study. In: Hämmerli, B., Helmbrecht, U., Hommel, W., Kunczik, L., Pickl, S. (eds) Critical Information Infrastructures Security. CRITIS 2022. Lecture Notes in Computer Science, vol 13723. Springer, Cham. https://doi.org/10.1007/978-3-031-35190-7_11
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DOI: https://doi.org/10.1007/978-3-031-35190-7_11
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