Benchmark for Evaluating Performance in Visual Inspection of Fatigue Cracking in Steel Bridges-Reference-Cited by-同舟云学术

Benchmark for Evaluating Performance in Visual Inspection of Fatigue Cracking in Steel Bridges

Published:2020-01 Issue:1 Volume:25 Page:04019128
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Campbell Leslie E.¹,Connor Robert J.²,Whitehead Julie M.³,Washer Glenn A.⁴^ORCID

Affiliation:

1. Ph.D. Candidate, Lyles School of Civil Engineering, Purdue Univ., 1040 S River Rd., West Lafayette, IN 47907 (corresponding author).

2. Professor of Civil Engineering and Director of CAI and S-BRITE, Lyles School of Civil Engineering, Purdue Univ., 1040 S River Rd., West Lafayette, IN 47907.

3. Structural Engineer, Burns and McDonnell, 425 S. Woods Mill Rd., St. Louis, MO 63017.

4. Professor, Dept. of Civil and Environmental Engineering, Univ. of Missouri, 2502 Lafferre Hall, Columbia, MO 65211. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29BE.1943-5592.0001507

Reference12 articles.

1. Annis C. 2016. “Statistical best-practices for building probability of detection (POD) models.” Accessed March 1 2016. http://StatisticalEngineering.com/mh1823/.

2. Demsetz L. A. R. Cario R. T. Huang and R. Schulte-Strathaus. 1996a. “Factors affecting marine structural inspection performance.” In Proc. Ship Structure Symp. New Jersey: Society of Naval Architects and Marine Engineers and Ship Structure Committee.

3. FHWA (Federal Highway Administration). 2017. “National bridge inventory ASCII files.” Accessed November 1 2017. https://www.fhwa.dot.gov/bridge/nbi/ascii2017.cfm.

4. Reliability and Accuracy of In-Depth Inspection of Highway Bridges

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