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    Predicting Pavement Distress in Oil Field Areas

    Source: Journal of Transportation Engineering, Part A: Systems:;1984:;Volume ( 110 ):;issue: 003
    Author:
    John M. Mason, Jr.
    ,
    Thomas Scullion
    ,
    Bryan E. Stampley
    DOI: 10.1061/(ASCE)0733-947X(1984)110:3(366)
    Publisher: American Society of Civil Engineers
    Abstract: A study on oil field traffic characteristics was performed and a procedure was developed for assessing current and future effects of oil field truck traffic on surface‐treated (stage construction type) pavements. A computer program calculates several types of pavement distress and serviceability parameters to evaluate pavement performance under various axle load repetitions. Stepwise regression analysis of 132 surface‐treated pavement sections led to the development of individual distress equations for rutting, raveling, flushing, alligator cracking, patching, longitudinal and transverse cracking, and failures (potholes). The versatility of the program provides a means of anticipating early pavement failures due to increased axle load repetitions. The program also provides the basic framework for computing the effects of other “special‐use” truck traffic demands.
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      Predicting Pavement Distress in Oil Field Areas

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    http://yetl.yabesh.ir/yetl1/handle/yetl/36157
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorJohn M. Mason, Jr.
    contributor authorThomas Scullion
    contributor authorBryan E. Stampley
    date accessioned2017-05-08T21:02:04Z
    date available2017-05-08T21:02:04Z
    date copyrightNovember 1984
    date issued1984
    identifier other%28asce%290733-947x%281984%29110%3A3%28366%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/36157
    description abstractA study on oil field traffic characteristics was performed and a procedure was developed for assessing current and future effects of oil field truck traffic on surface‐treated (stage construction type) pavements. A computer program calculates several types of pavement distress and serviceability parameters to evaluate pavement performance under various axle load repetitions. Stepwise regression analysis of 132 surface‐treated pavement sections led to the development of individual distress equations for rutting, raveling, flushing, alligator cracking, patching, longitudinal and transverse cracking, and failures (potholes). The versatility of the program provides a means of anticipating early pavement failures due to increased axle load repetitions. The program also provides the basic framework for computing the effects of other “special‐use” truck traffic demands.
    publisherAmerican Society of Civil Engineers
    titlePredicting Pavement Distress in Oil Field Areas
    typeJournal Paper
    journal volume110
    journal issue3
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)0733-947X(1984)110:3(366)
    treeJournal of Transportation Engineering, Part A: Systems:;1984:;Volume ( 110 ):;issue: 003
    contenttypeFulltext
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