Highlights Generation of dynamic wheel loads based on random pavement roughness. Realistic pavement material properties and tire pressure in finite element analysis. Probabilistic pavement performance prediction. Quantification and optimization of environmental and economic impacts.

    Abstract Dynamic wheel load (DWL) may result in additional pavement damage. This study examined the impact of DWL on pavement performance using mechanistic tractor-trailer and three-dimensional (3-D) viscoelastic finite element (FE) pavement models. Based on the result of FE simulations, a correlation between the pavement responses and DWL was established. Using the mechanistic-empirical pavement design guide approach, the pavement service life was predicted. A case study based on life cycle assessment (LCA) and life cycle costing (LCC) methodologies was performed to study the DWL impact on greenhouse gas (GHG) emissions, energy consumption, and cost. The study identified the probabilistic distribution of pavement service life due to DWL. The effect of pavement service life on the environmental impact of each LCA stage was investigated. Finally, optimal sustainable solutions considering both environmental and economic impacts were introduced using a Pareto frontier analysis.


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    Titel :

    Impact of dynamic wheel load on roadway infrastructure sustainability


    Beteiligte:


    Erscheinungsdatum :

    2021-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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