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    Data Analysis Techniques for GPR Used for Assessing Railroad Ballast in High Radio-Frequency Environment

    Source: Journal of Transportation Engineering, Part A: Systems:;2010:;Volume ( 136 ):;issue: 004
    Author:
    Imad L. Al-Qadi
    ,
    Wei Xie
    ,
    Roger Roberts
    ,
    Zhen Leng
    DOI: 10.1061/(ASCE)TE.1943-5436.0000088
    Publisher: American Society of Civil Engineers
    Abstract: Railroad ballast supports heavy rail loading, prevents track deformation, and provides drainage of water from the track structure. However, over time, ballast is fouled by the breakdown of ballast aggregate and/or the infiltration of fines, which undermine the ballast functions and affect the railroad track structural capacity. Ground penetrating radar (GPR) provides a rapid, effective, and continuous way to assess railroad track substructure condition; especially ballast. However, the GPR system faces some challenges during field surveys including high radio-frequency interference from railroad communication and automation, and strong reflections from rails. In this study, appropriate techniques were used to remove the interference and reduce the strong clutter from rails to obtain clear GPR data of railroad substructure. A time-frequency method, short-time Fourier transform, was then applied to extract ballast fouling condition over depth. A field survey using multiple sets of 2-GHz air-horn antennae was conducted during summer 2007 at the Transportation Technology Center, Inc. in Pueblo, Colo. Compared to ground-truth excavation and ballast gradation analysis results, GPR was found to be an effective technique to assess railroad track ballast substructure condition.
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      Data Analysis Techniques for GPR Used for Assessing Railroad Ballast in High Radio-Frequency Environment

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    http://yetl.yabesh.ir/yetl1/handle/yetl/69088
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorImad L. Al-Qadi
    contributor authorWei Xie
    contributor authorRoger Roberts
    contributor authorZhen Leng
    date accessioned2017-05-08T22:01:37Z
    date available2017-05-08T22:01:37Z
    date copyrightApril 2010
    date issued2010
    identifier other%28asce%29te%2E1943-5436%2E0000138.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69088
    description abstractRailroad ballast supports heavy rail loading, prevents track deformation, and provides drainage of water from the track structure. However, over time, ballast is fouled by the breakdown of ballast aggregate and/or the infiltration of fines, which undermine the ballast functions and affect the railroad track structural capacity. Ground penetrating radar (GPR) provides a rapid, effective, and continuous way to assess railroad track substructure condition; especially ballast. However, the GPR system faces some challenges during field surveys including high radio-frequency interference from railroad communication and automation, and strong reflections from rails. In this study, appropriate techniques were used to remove the interference and reduce the strong clutter from rails to obtain clear GPR data of railroad substructure. A time-frequency method, short-time Fourier transform, was then applied to extract ballast fouling condition over depth. A field survey using multiple sets of 2-GHz air-horn antennae was conducted during summer 2007 at the Transportation Technology Center, Inc. in Pueblo, Colo. Compared to ground-truth excavation and ballast gradation analysis results, GPR was found to be an effective technique to assess railroad track ballast substructure condition.
    publisherAmerican Society of Civil Engineers
    titleData Analysis Techniques for GPR Used for Assessing Railroad Ballast in High Radio-Frequency Environment
    typeJournal Paper
    journal volume136
    journal issue4
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)TE.1943-5436.0000088
    treeJournal of Transportation Engineering, Part A: Systems:;2010:;Volume ( 136 ):;issue: 004
    contenttypeFulltext
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