Article Dans Une Revue Archives of civil and mechanical engineering Année : 2025

Monitoring of a bridge experiencing scour using frequency domain decomposition mixed with DBSCAN algorithm: unsupervised modal analysis of output-only system

Résumé

This study proposes a new method for monitoring bridges under scour considering an output-only system. From classical operational modal analysis (OMA), the revisited frequency domain decomposition (FDD) technique is applied to identify the modal parameters of the system. An eigenvalue decomposition (EVD) of the power spectral density matrix using the Modal Assurance Criterion (MAC) value leads to defining a continuous base of eigenvectors through the studied frequency range. The method called EVD-MAC is then applied to a bridge subjected to varying environmental and traffic loads. In this real case study, the subspaces of EVD-MAC are used to represent the frequency behavior of the system with uncorrelated components. This makes it possible to identify clusters using unsupervised machine learning algorithms where each cluster corresponds to one presumed mode. The analysis is carried out with respect to specific environmental factors, including temperature and water level, which influence the system's behavior. Scour assessments 1 are conducted based on variations in natural frequencies observed in more than a year of monitoring data, demonstrating the utility and automation potential of this approach.

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hal-05101435 , version 1 (06-06-2025)

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Mohamed Belmokhtar, Franziska Schmidt, Christophe Chevalier, Alireza Ture Savadkoohi. Monitoring of a bridge experiencing scour using frequency domain decomposition mixed with DBSCAN algorithm: unsupervised modal analysis of output-only system. Archives of civil and mechanical engineering, 2025, 25 (4), pp.193. ⟨10.1007/s43452-025-01235-1⟩. ⟨hal-05101435⟩
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