Vehicles traversing on asphalt pavements are of diverse types comprising different axle configurations. Globally, the flexible pavement design guidelines are based on fixed vehicle approach and the pavement analysis is carried out by adopting static or quasi-static loads ascribed to the lack of provision for dynamic load representation and intricacies in the analyses. However, it has been found that the dynamic component significantly contributes to the time-varying nature of vehicular loads that affects the asphalt pavement performance. On this note, this paper focused on estimating the rutting performance of asphalt pavements under the influence of dynamic vehicular loads. The dynamic analysis was performed on a pavement system modeled in ABAQUS® software by considering traffic loads due to four vehicle types with different axle configurations. The surface wearing course was represented by the power-law creep model to account for viscoelastic nature of the asphalt. The time-varying loads were represented by a lumped parameter model for the vehicle accounting for the inertia, stiffness, and damping characteristics in addition to the self-weight. Further, the vertical strains obtained from the dynamic analysis were compared with the estimates of static analysis, thereby, examining the differences in the strain ratios responsible for rutting failure due to the two analyses. Additionally, calibration factors for strain ratios were proposed, which will exemplify the realistic contribution of dynamic loads in rutting performance estimation. Thus, this study will help advance the existing pavement design framework through the incorporation of the vehicle dynamics effects in rational asphalt pavement performance evaluation.


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    Title :

    Influence of Dynamic Analysis on Estimation of Rutting Performance Using the Fixed Vehicle Approach


    Additional title:

    Sustain. Civil Infrastruct.



    Conference:

    International Road Federation World Meeting & Exhibition ; 2021 ; Dubai, United Arab Emirates November 07, 2021 - November 10, 2021



    Publication date :

    2022-04-21


    Size :

    17 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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