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A New Damage Index Based on Statistical Features, PCA, and Mahalanobis Distance for Detecting and Locating Cables Loss in a Cable-Stayed Bridge

2021; World Scientific; Volume: 21; Issue: 09 Linguagem: Inglês

10.1142/s0219455421501273

1793-6764

Jesus J. Yanez-Borjas, José M. Machorro-López, David Camarena‐Martinez, Martin Valtierra‐Rodriguez, Juan P. Amézquita-Sánchez, Francisco J. Carrion-Viramontes, Juan A. Quintana-Rodriguez,

Structural Engineering and Vibration Analysis

Cable-stayed bridges are widely used all around the world. Unfortunately, during their service life, they are exposed to adverse conditions that may cause their deterioration and, consequently, their collapse. Vibration-based structural health monitoring techniques have become the most promising alternatives for efficiently detecting and locating damage into civil structures. In this regard, this paper presents a new methodology based on statistical features, Principal component analysis (PCA), and Mahalanobis distance (MD) for detecting and locating a cable loss in the Río Papaloapan bridge (RPB) using vibration signals. It is based on the extraction of a set of statistical time features (STFs) from vibration signals, which are analyzed using the autocorrelation function (ACF) to denoise and strengthen the features found in them. Then PCA-based models are computed by using the STFs to enhance the damage location process. Then a new damage index based on MD is proposed to indicate if a damage exists and its location.