United States Department of Transportation
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Automated Bridge Inspection Using Digital Image Correlation and Other Vision-Based Methods – Phase IV
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2023-09-01
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[PDF-9.13 MB]
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Edition:Final Report June 2020 – June 2023
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Abstract:One of the main concerns for aging steel bridges in the United States is the initiation and propagation of distortion-induced fatigue cracks. Distortion-induced fatigue cracks account for most of the 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.
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