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    Effectiveness of Ground Penetrating Radar in Predicting Deck Repair Quantities

    Source: Journal of Infrastructure Systems:;2004:;Volume ( 010 ):;issue: 002
    Author:
    Christopher L. Barnes
    ,
    Jean-François Trottier
    DOI: 10.1061/(ASCE)1076-0342(2004)10:2(69)
    Publisher: American Society of Civil Engineers
    Abstract: Ground penetrating radar (GPR) was examined as an alternative or supplement to visual inspection methods for predicting reinforced concrete bridge deck repairs. Visual inspection has frequently resulted in grossly inaccurate estimates of repairs causing large maintenance cost overruns. GPR-predicted deteriorations were compared to deterioration detected using the chain drag and half-cell potential methods on 24 asphalt covered reinforced concrete decks exhibiting a broad spectrum of deterioration levels. The differences among the deterioration quantities resulting from these surveys were normalized for comparison with respect to the deterioration area and deck size. Large proportions of all decks surveyed containing less than 10% and more than 50% deterioration of the total deck surface area (as measured by chain drag) exhibited significant differences between the GPR and both ground-truth survey quantities. Insignificant differences between GPR predictions and the ground-truth results were observed for six out of seven decks exhibiting deterioration levels between 10 and 50% (by chain drag). It is concluded from this investigation that a combination of visual inspection and GPR inspection surveys for all decks can improve repair estimates and reduce the occurrence of gross underestimates of repair quantities.
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      Effectiveness of Ground Penetrating Radar in Predicting Deck Repair Quantities

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    http://yetl.yabesh.ir/yetl1/handle/yetl/48201
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    contributor authorChristopher L. Barnes
    contributor authorJean-François Trottier
    date accessioned2017-05-08T21:21:19Z
    date available2017-05-08T21:21:19Z
    date copyrightJune 2004
    date issued2004
    identifier other%28asce%291076-0342%282004%2910%3A2%2869%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/48201
    description abstractGround penetrating radar (GPR) was examined as an alternative or supplement to visual inspection methods for predicting reinforced concrete bridge deck repairs. Visual inspection has frequently resulted in grossly inaccurate estimates of repairs causing large maintenance cost overruns. GPR-predicted deteriorations were compared to deterioration detected using the chain drag and half-cell potential methods on 24 asphalt covered reinforced concrete decks exhibiting a broad spectrum of deterioration levels. The differences among the deterioration quantities resulting from these surveys were normalized for comparison with respect to the deterioration area and deck size. Large proportions of all decks surveyed containing less than 10% and more than 50% deterioration of the total deck surface area (as measured by chain drag) exhibited significant differences between the GPR and both ground-truth survey quantities. Insignificant differences between GPR predictions and the ground-truth results were observed for six out of seven decks exhibiting deterioration levels between 10 and 50% (by chain drag). It is concluded from this investigation that a combination of visual inspection and GPR inspection surveys for all decks can improve repair estimates and reduce the occurrence of gross underestimates of repair quantities.
    publisherAmerican Society of Civil Engineers
    titleEffectiveness of Ground Penetrating Radar in Predicting Deck Repair Quantities
    typeJournal Paper
    journal volume10
    journal issue2
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)1076-0342(2004)10:2(69)
    treeJournal of Infrastructure Systems:;2004:;Volume ( 010 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian