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    Estimating Truck Aggressiveness Using a Multilinear Fatigue Model and a Viscoelastic Pavement Model

    Source: Journal of Transportation Engineering, Part A: Systems:;2016:;Volume ( 142 ):;issue: 002
    Author:
    Farah Homsi
    ,
    Jean-Maurice Balay
    ,
    Didier Bodin
    ,
    Denys Breysse
    ,
    Sylvie Yotte
    DOI: 10.1061/(ASCE)TE.1943-5436.0000811
    Publisher: American Society of Civil Engineers
    Abstract: To increase freight efficiency, trucks are allowed to transport heavier loads without adding extra axles. The impact of this practice on infrastructure damage needs to be evaluated. This involves evaluating the fatigue life of asphalt pavements under multiple axle configurations. In mechanistic pavement design, the asphalt thickness is generally determined using a fatigue model calibrated in the laboratory by applying a continuous sinusoidal signal with different strain levels. The classical fatigue relationship gives fatigue life as a function of the strain level. However, results from literature show the influence of the loading wave shape on the fatigue life of bituminous mixtures. Real loading signals under multiple axle configurations are more complex in shape than sinusoidal pulses. Moreover, real strain signals have different shapes in the longitudinal and transverse directions. This paper presents an approach using a multilinear fatigue model that takes into account the shape of the loading signal coupled with a viscoelastic pavement model. Using this approach, a parametric study is made to evaluate the effect of loading variables on fatigue life, as well as comparisons between the aggressiveness of different truck configurations including European Modular Systems (EMS).
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      Estimating Truck Aggressiveness Using a Multilinear Fatigue Model and a Viscoelastic Pavement Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/81645
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorFarah Homsi
    contributor authorJean-Maurice Balay
    contributor authorDidier Bodin
    contributor authorDenys Breysse
    contributor authorSylvie Yotte
    date accessioned2017-05-08T22:30:08Z
    date available2017-05-08T22:30:08Z
    date copyrightFebruary 2016
    date issued2016
    identifier other47162895.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81645
    description abstractTo increase freight efficiency, trucks are allowed to transport heavier loads without adding extra axles. The impact of this practice on infrastructure damage needs to be evaluated. This involves evaluating the fatigue life of asphalt pavements under multiple axle configurations. In mechanistic pavement design, the asphalt thickness is generally determined using a fatigue model calibrated in the laboratory by applying a continuous sinusoidal signal with different strain levels. The classical fatigue relationship gives fatigue life as a function of the strain level. However, results from literature show the influence of the loading wave shape on the fatigue life of bituminous mixtures. Real loading signals under multiple axle configurations are more complex in shape than sinusoidal pulses. Moreover, real strain signals have different shapes in the longitudinal and transverse directions. This paper presents an approach using a multilinear fatigue model that takes into account the shape of the loading signal coupled with a viscoelastic pavement model. Using this approach, a parametric study is made to evaluate the effect of loading variables on fatigue life, as well as comparisons between the aggressiveness of different truck configurations including European Modular Systems (EMS).
    publisherAmerican Society of Civil Engineers
    titleEstimating Truck Aggressiveness Using a Multilinear Fatigue Model and a Viscoelastic Pavement Model
    typeJournal Paper
    journal volume142
    journal issue2
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)TE.1943-5436.0000811
    treeJournal of Transportation Engineering, Part A: Systems:;2016:;Volume ( 142 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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