Abstract
Transverse cracks on bridge decks provide the path for chloride penetration and are the major reason for deck deterioration. For such reasons, collecting information related to the crack widths and spacing of transverse cracks are important. In this study, we focused on developing a data pipeline for automated crack detection using non-contact optical sensors. We developed a data acquisition system that is able to acquire data in a fast and simple way without obstructing traffic. Understanding that GPS is not always available and odometer sensor data can only provide relative positions along the direction of traffic, we focused on providing an alternative localization strategy only using optical sensors. In addition, to improve existing crack detection methods which mostly rely on the low-intensity and localized line-segment characteristics of cracks, we considered the direction and shape of the cracks to make our machine learning approach smarter. The proposed system may serve as a useful inspection tool for big data analytics because the system is easy to deploy and provides multiple properties of cracks. Progression of crack deterioration, if any, both in spatial and temporal scale, can be checked and compared if the system is deployed multiple times.
Highlights
IntroductionBridge deterioration from bridge decks is the starting point of degradation which can be followed by other structural members (superstructure, supports, and substructure)
To achieve the resolution of the widths of typical cracks observed in bridge decks and to be able to provide the location of each crack, we have employed a multi-view, multi-resolution camera system
The reason we chose the STRUM classifier as the method for comparison is because this is the only research that implemented their method for the entire bridge deck, compared to other studies which only focused on local regions
Summary
Bridge deterioration from bridge decks is the starting point of degradation which can be followed by other structural members (superstructure, supports, and substructure). For such reasons, health monitoring of bridge decks plays an important role in maintaining and increasing the service life of bridges. Bridge decks will typically contain a transverse restrained shrinkage crack which is full-depth across the cross-section. These transverse cracks provide the path for chloride penetration and is the major reason for deck deterioration. For such reasons, collecting information related to crack widths and the spacing of these transverse cracks are important
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