2024
DOI: 10.36227/techrxiv.12672194.v3
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Potential of Neural Networks for Structural Damage Localization

Miguel Abambres,
Marcy M,
Doz G

Abstract: Fabrication technology and structural engineering states-of-art have led to a growing use of slender structures, making them more susceptible to static and dynamic actions that may lead to some sort of damage. In this context, regular inspections and evaluations are necessary to detect and predict structural damage and establish maintenance actions able to guarantee structural safety and durability with minimal cost. However, these procedures are traditionally quite time-consuming and costly, and techniques al… Show more

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