Corrosion Detection in PSC Bridge Tendons Using Kernel PCA Denoising of Measured MFL Signals

Corrosion Detection in PSC Bridge Tendons Using Kernel PCA Denoising of Measured MFL Signals

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The construction of prestressed concrete bridges has witnessed a steep increase for the past 50 years worldwide.The constructed sofia barclay sexy bridges exposed to various environmental conditions deteriorate all along their service life.One such degradation is corrosion, which can cause significant damage if it occurs on the main structural components, such as prestressing tendons.In this study, a novel non-destructive evaluation method to incorporate a movable yoke system with denoising algorithm based on kernel principal component analysis is developed and applied to identify the loss of cross-sectional area in corroded external prestressing tendons.The proposed method using denoised output voltage signals obtained from the measuring device appears to be a reliable and turbo air m3f24-1 precise monitoring system to detect corrosion with less than 3% sectional loss.