Keywords
damage detection
linear discriminant analysis
mechatronics
multilayer perceptron
structural health monitoring
How to Cite
Abstract
Civil structures are critical for safety and serviceability, but they are continuously exposed to deterioration mechanisms that may compromise their integrity. This study proposes a vibration-based methodology for the automatic condition assessment of concrete slabs by combining statistical indicators (SI) as to identify representative features of monitored waves, linear discriminant analysis (LDA) to reduce dimensionality and enhance class separability, and a multilayer perceptron (MLP) to automatically classify the extracted features for structural condition evaluation. The obtained results, with 97.5% validation accuracy and 99% overall accuracy, demonstrate the effectiveness of the proposed approach for the reliable identification of damage conditions in concrete slabs.
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