United States Department of Transportation
i
Automated Bridge Inspection Using Digital Image Correlation Part II: Application of Digital Image Correlation Techniques for In-Service Inspection Conditions
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2023-09-01
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[PDF-5.38 MB]
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Edition:Final Report Dec 2017 – Dec 2019
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Abstract:A major concern for aging steel bridges in the United States is the initiation and propagation of distortion-induced fatigue cracks, which accounts for the majority of fatigue cracks in bridges. Despite recent studies proving that visual inspections consistently fail to identify realistically sized fatigue cracks, Departments of Transportation are forced to rely primarily on the use of visual inspections to locate and characterize fatigue cracking. Many detection methodologies have been examined for fatigue crack detection, but the methods are dependent on detection equipment that is physically attached to the bridge, such as sensor networks, which limits the flexibility of the methods for analyzing the multiple fatigue susceptible regions present on highway bridges. The development of an inspection technique that is not dependent on human visual inspection or physical attachments would have the potential to decrease the time and cost of performing inspections, as well as decrease the risk of injury to inspectors and increase reliability. The efficacy of vision-based technologies as an alternative to manual inspections of highway bridges is an area of active research. While many vision-based technologies have been proven to detect macro-indicators of damage, digital image correlation (DIC) has shown potential for detecting and characterizing fatigue cracks. Since DIC measurements have the ability to capture full-field displacements and surface strains, it is proven that developed DIC methodologies have the ability to identify and characterize both in-plane and out-of-plane fatigue cracks, allowing application to steel bridges exposed to differential girder displacement. This report summarizes the development of a crack-detection methodology using DIC and aims to quantify the impact of lighting and focus on the developed methodology. An evaluation of seven open-source DIC alternatives is also presented, as the use of free open-source software has the potential to reduce initial costs and allow for modifications that are tailored to the specific needs of bridge inspections.
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