Efforts have been made by the Western Cape Provincial Administration in South Africa to improve all aspects of gravel road construction and maintenance. This thrust has resulted in better performance over time, as had been predicted by gravel loss deterioration models. Various internationally recognized gravel loss deterioration models were evaluated, and their predictions of gravel loss were compared with actual measurements of gravel loss. Through an extensive selection and design process and by incorporating various material property, traffic volume, environmental, and geometric parameters, 20 monitoring sections were selected for comparison. This monitoring was done for more than 5 years, starting in 2003. This paper summarizes the various available gravel loss deterioration models, provides a sensitivity analysis, discusses the improved processes, and gives a brief summary of the experimental design that was followed. The experimental monitoring and the analysis of the measured and predicted annual gravel loss as well as the comparison of the measured with the predicted gravel loss are also discussed. The impact of the sensitivity analysis and the comparison between the actual measurements and the predicted gravel loss as determined from the deterioration models are highlighted. Conclusions and suggested adjustments to the models or to the monitoring procedures are made. The two models that gave the best comparisons to the measured results and that would benefit the most by the suggested adjustments are the Technical Recommendations for Highways Manual 20 model and the World Bank Highway Development and Management model.


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    Titel :

    Evaluation of Gravel Loss Deterioration Models


    Untertitel :

    Case Study


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Uys, Robbie (Autor:in)


    Erscheinungsdatum :

    01.01.2011




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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