Campbell, L. E., Snyder, L. R., Whitehead, J. M., Connor, R. J., & Lloyd, J. B. (2019). Probability of Detection Study for Visual Inspection of Steel Bridges: Volume 1— Executive Summary (Report No. FHWA/IN/JTRP-2019/21). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317103
Campbell, Leslie E., Luke R. Snyder, Julie M Whitehead, Robert J. Connor, and Jason B Lloyd. Probability of Detection Study for Visual Inspection of Steel Bridges: Volume 1— Executive Summary. Report no. FHWA/IN/JTRP-2019/21. Purdue University. Joint Transportation Research Program, 2019. https://doi.org/10.5703/1288284317103.
Campbell, Leslie E., et al. Probability of Detection Study for Visual Inspection of Steel Bridges: Volume 1— Executive Summary. Purdue University. Joint Transportation Research Program, 2019, Report no. FHWA/IN/JTRP-2019/21, ROSA P. https://doi.org/10.5703/1288284317103.
An inspector’s ability to correctly identify surface and internal defects in steel bridge components is critical to protecting public safety. Ensuring that inspectors are properly trained and adequately equipped to detect these defects in locations that are difficult to access and/or in unfavorable environmental conditions must be a high priority. While the Federal Highway Administration and individual state departments of transportation have guidelines for inspector qualifications, trainings, and certifications, there is very little emphasis placed on evaluating or “testing” a given inspector’s capability to characterize detect defects in the field. As a result, there is also very little if any data on how well a given inspector actually performs or the variability which can be expected between various inspectors. This comprehensive Probability of Detection (POD) study was conducted to establish the ability of an inspector with the current required training to locate cracks in steel bridge components using typical visual inspection techniques.
Campbell, L. E., Snyder, L. R., Whitehead, J. M., Connor, R. J., & Lloyd, J. B. (2019). Probability of Detection Study for Visual Inspection of Steel Bridges: Volume 1— Executive Summary (Report No. FHWA/IN/JTRP-2019/21). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317103
Campbell, Leslie E., Luke R. Snyder, Julie M Whitehead, Robert J. Connor, and Jason B Lloyd. Probability of Detection Study for Visual Inspection of Steel Bridges: Volume 1— Executive Summary. Report no. FHWA/IN/JTRP-2019/21. Purdue University. Joint Transportation Research Program, 2019. https://doi.org/10.5703/1288284317103.
Campbell, Leslie E., et al. Probability of Detection Study for Visual Inspection of Steel Bridges: Volume 1— Executive Summary. Purdue University. Joint Transportation Research Program, 2019, Report no. FHWA/IN/JTRP-2019/21, ROSA P. https://doi.org/10.5703/1288284317103.
ROSA P serves as an archival repository of USDOT-published products including scientific
findings, journal articles, guidelines, recommendations, or other information authored or co-authored by
USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to
ensure public access to scientific information.
Links with this icon indicate that you are leaving a Bureau of Transportation
Statistics (BTS)/National Transportation Library (NTL)
Web-based service.
Thank you for visiting.
You are about to access a non-government link outside of
the U.S. Department of Transportation's National
Transportation Library.
Please note: While links to Web sites outside of DOT are
offered for your convenience, when you exit DOT Web sites,
Federal privacy policy and Section 508 of the Rehabilitation
Act (accessibility requirements) no longer apply. In
addition, DOT does not attest to the accuracy, relevance,
timeliness or completeness of information provided by linked
sites. Linking to a Web site does not constitute an
endorsement by DOT of the sponsors of the site or the
products presented on the site. For more information, please
view DOT's Web site linking policy.
To get back to the page you were previously viewing, click
your Cancel button.