Automated Bridge Inspection Using Digital Image Correlation and Other Vision-Based Methods – Phase IV

Collins, William; Bennett, Caroline; Li, Jian; Juno, Mary; Al-Salih, Hayder; Badmus, Afeez; Mojidra, Rushil; Cobos, Jaswant

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Automated Bridge Inspection Using Digital Image Correlation and Other Vision-Based Methods – Phase IV

2023-09-01
By Collins, William ; Bennett, Caroline ; Li, Jian

File Language:

English

Details

Creators:

Collins, William ; Bennett, Caroline ; Li, Jian ; Juno, Mary ; Al-Salih, Hayder ; Badmus, Afeez ; Mojidra, Rushil ; Cobos, Jaswant
Corporate Creators:

University of Kansas
Corporate Contributors:

University of Nebraska. Mid-America Transportation Center ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Publication/ Report Number:

25-1121-0005-151-4
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report June 2020 – June 2023
Corporate Publisher:

University of Nebraska. Mid-America Transportation Center
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.
Format:

PDF
Funding:

69A3551747107
Download URL:

https://rosap.ntl.bts.gov/view/dot/77896/dot_77896_DS1.pdf
File Type:

[PDF - 9.13 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:27ee9434d9736d2fc3911919fa145c9b9e41a3006cf8d29da54c5084b74cfe81953add9e67952e1631269bb78e05a2e6c6ff3d95a62b8bfd3162e23133ccd8fc

File Language:

English

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