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    Impact of Systematic Axle Load Measurement Error on Pavement Design Using Mechanistic-Empirical Pavement Design Guide

    Source: Journal of Transportation Engineering, Part A: Systems:;2012:;Volume ( 138 ):;issue: 003
    Author:
    Syed Waqar Haider
    ,
    Ronald S. Harichandran
    ,
    Monther B. Dwaikat
    DOI: 10.1061/(ASCE)TE.1943-5436.0000335
    Publisher: American Society of Civil Engineers
    Abstract: In traffic characterization, axle load spectra (ALS) are one of the most critical inputs in the new Mechanistic-Empirical Pavement Design Guide (MEPDG). Axle load spectra have a significant effect on predicted pavement performance and, thus, the design life. Typically, axle load spectra as measured by weigh-in-motion (WIM) systems are assumed to have adequate data quality and accuracy. In fact, the quality of WIM-based data has inherent uncertainties attributable to inaccuracy and systematic bias. Whereas WIM data accuracy depends on the sensor technology, calibration errors and drift over time may introduce a systematic bias. This technical note investigates the effect of axle load measurement bias on pavement design for flexible and rigid pavements. The results show that negative bias in axle load measurements significantly affects cracking performance for both pavement types. The bias is more critical for rigid pavements with thinner slabs. Therefore, a measurement bias limit of less than
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      Impact of Systematic Axle Load Measurement Error on Pavement Design Using Mechanistic-Empirical Pavement Design Guide

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/69343
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorSyed Waqar Haider
    contributor authorRonald S. Harichandran
    contributor authorMonther B. Dwaikat
    date accessioned2017-05-08T22:02:03Z
    date available2017-05-08T22:02:03Z
    date copyrightMarch 2012
    date issued2012
    identifier other%28asce%29te%2E1943-5436%2E0000378.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69343
    description abstractIn traffic characterization, axle load spectra (ALS) are one of the most critical inputs in the new Mechanistic-Empirical Pavement Design Guide (MEPDG). Axle load spectra have a significant effect on predicted pavement performance and, thus, the design life. Typically, axle load spectra as measured by weigh-in-motion (WIM) systems are assumed to have adequate data quality and accuracy. In fact, the quality of WIM-based data has inherent uncertainties attributable to inaccuracy and systematic bias. Whereas WIM data accuracy depends on the sensor technology, calibration errors and drift over time may introduce a systematic bias. This technical note investigates the effect of axle load measurement bias on pavement design for flexible and rigid pavements. The results show that negative bias in axle load measurements significantly affects cracking performance for both pavement types. The bias is more critical for rigid pavements with thinner slabs. Therefore, a measurement bias limit of less than
    publisherAmerican Society of Civil Engineers
    titleImpact of Systematic Axle Load Measurement Error on Pavement Design Using Mechanistic-Empirical Pavement Design Guide
    typeJournal Paper
    journal volume138
    journal issue3
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)TE.1943-5436.0000335
    treeJournal of Transportation Engineering, Part A: Systems:;2012:;Volume ( 138 ):;issue: 003
    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