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

    Source: Journal of Bridge Engineering:;2020:;Volume ( 025 ):;issue: 001
    Author:
    Leslie E. Campbell
    ,
    Robert J. Connor
    ,
    Julie M. Whitehead
    ,
    Glenn A. Washer
    DOI: 10.1061/(ASCE)BE.1943-5592.0001507
    Publisher: ASCE
    Abstract: Visual inspection is the primary means of ensuring the safety and functionality of in-service bridges in the United States and owners spend considerable resources on such inspections. While the Federal Highway Administration (FHWA) and many state departments of transportation have guidelines related to inspector qualification, training, and certification, an inspector’s actual capability to identify defects in the field under these guidelines is unknown. This paper describes the results from 30 hands-on, visual inspections performed on bridge specimens with known fatigue cracks. Background information was collected on each inspector and correlated with inspection performance. Field temperature, duration, experience, and training were significantly correlated with detection rate. Probability of detection (POD) curves were fit to the inspection results and the 50% and 90% detection rate crack lengths were determined. This POD study was conducted to provide a benchmark measure of visual inspection capability for detecting fatigue cracks in steel bridge components under controlled conditions. It is believed to be the first study in which a statistically significant set of data focused on visual detection of fatigue cracks in steel bridge components has been collected.
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      Benchmark for Evaluating Performance in Visual Inspection of Fatigue Cracking in Steel Bridges

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    contributor authorLeslie E. Campbell
    contributor authorRobert J. Connor
    contributor authorJulie M. Whitehead
    contributor authorGlenn A. Washer
    date accessioned2022-01-30T19:12:10Z
    date available2022-01-30T19:12:10Z
    date issued2020
    identifier other%28ASCE%29BE.1943-5592.0001507.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264843
    description abstractVisual inspection is the primary means of ensuring the safety and functionality of in-service bridges in the United States and owners spend considerable resources on such inspections. While the Federal Highway Administration (FHWA) and many state departments of transportation have guidelines related to inspector qualification, training, and certification, an inspector’s actual capability to identify defects in the field under these guidelines is unknown. This paper describes the results from 30 hands-on, visual inspections performed on bridge specimens with known fatigue cracks. Background information was collected on each inspector and correlated with inspection performance. Field temperature, duration, experience, and training were significantly correlated with detection rate. Probability of detection (POD) curves were fit to the inspection results and the 50% and 90% detection rate crack lengths were determined. This POD study was conducted to provide a benchmark measure of visual inspection capability for detecting fatigue cracks in steel bridge components under controlled conditions. It is believed to be the first study in which a statistically significant set of data focused on visual detection of fatigue cracks in steel bridge components has been collected.
    publisherASCE
    titleBenchmark for Evaluating Performance in Visual Inspection of Fatigue Cracking in Steel Bridges
    typeJournal Paper
    journal volume25
    journal issue1
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/(ASCE)BE.1943-5592.0001507
    page04019128
    treeJournal of Bridge Engineering:;2020:;Volume ( 025 ):;issue: 001
    contenttypeFulltext
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