Infrastructures, Volume 9, Issue 9
2024 September - 28 articles
Cover Story: As corrosion negatively impacts civil structures, this paper presents a methodology combining the fractal analysis of vibration signals with autoencoders to detect it in a truss-type bridge. Vibration signals are analyzed using six fractal dimension (FD) algorithms (Katz, Higuchi, Petrosian, Sevcik, Castiglioni, and Box). The resulting FD values generate a gray-scale image, which is then processed by autoencoders to produce a damage indicator based on the reconstruction error. This indicator estimates corrosion damage probability in specific bridge areas. Tested on a truss-type bridge model at the Autonomous University of Queretaro, the method achieved 99.8% accuracy in detecting corrosion at various stages, including incipient levels. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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