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    Impact-Echo Defect Detection in Reinforced Concrete Bridge Decks without Overlays

    Source: Journal of Performance of Constructed Facilities:;2021:;Volume ( 035 ):;issue: 005::page 04021058-1
    Author:
    Zachary W. Coleman
    ,
    Anton K. Schindler
    ,
    Christian M. Jetzel
    DOI: 10.1061/(ASCE)CF.1943-5509.0001638
    Publisher: ASCE
    Abstract: To effectively manage their inventory, transportation authorities are switching to nondestructive testing methods, such as the impact-echo method, to facilitate locating subsurface defects in reinforced concrete bridge decks. In this study, 17 bridge deck specimens with simulated delaminations, voids, deterioration, and poorly constructed concrete were fabricated at different moisture contents to determine what types of defects of varying size and depth can be detected using impact-echo testing. A modified receiver operator characteristic analysis was conducted to assess which types of defects can be discerned from sound concrete. Frequency contour plots for each specimen were used to evaluate how defect characteristics, such as delamination thickness, affect defect detectability. Results indicate that impact echo is generally effective at responding to the presence of delaminations, voids, deterioration, and poorly constructed concrete in bridge decks without overlays. It was found that moisture content does not significantly influence impact-echo readings. This paper also presents other observations regarding how defect thickness, size, and depth affect detectability. The findings of this study support a more effective nondestructive evaluation of in-service concrete bridge decks without overlays using impact-echo testing.
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      Impact-Echo Defect Detection in Reinforced Concrete Bridge Decks without Overlays

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4271924
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    • Journal of Performance of Constructed Facilities

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    contributor authorZachary W. Coleman
    contributor authorAnton K. Schindler
    contributor authorChristian M. Jetzel
    date accessioned2022-02-01T21:43:54Z
    date available2022-02-01T21:43:54Z
    date issued10/1/2021
    identifier other%28ASCE%29CF.1943-5509.0001638.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271924
    description abstractTo effectively manage their inventory, transportation authorities are switching to nondestructive testing methods, such as the impact-echo method, to facilitate locating subsurface defects in reinforced concrete bridge decks. In this study, 17 bridge deck specimens with simulated delaminations, voids, deterioration, and poorly constructed concrete were fabricated at different moisture contents to determine what types of defects of varying size and depth can be detected using impact-echo testing. A modified receiver operator characteristic analysis was conducted to assess which types of defects can be discerned from sound concrete. Frequency contour plots for each specimen were used to evaluate how defect characteristics, such as delamination thickness, affect defect detectability. Results indicate that impact echo is generally effective at responding to the presence of delaminations, voids, deterioration, and poorly constructed concrete in bridge decks without overlays. It was found that moisture content does not significantly influence impact-echo readings. This paper also presents other observations regarding how defect thickness, size, and depth affect detectability. The findings of this study support a more effective nondestructive evaluation of in-service concrete bridge decks without overlays using impact-echo testing.
    publisherASCE
    titleImpact-Echo Defect Detection in Reinforced Concrete Bridge Decks without Overlays
    typeJournal Paper
    journal volume35
    journal issue5
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/(ASCE)CF.1943-5509.0001638
    journal fristpage04021058-1
    journal lastpage04021058-11
    page11
    treeJournal of Performance of Constructed Facilities:;2021:;Volume ( 035 ):;issue: 005
    contenttypeFulltext
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