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Development of reliable pavement models.
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  • Abstract:
    The current report proposes a framework for estimating the reliability of a given pavement structure as analyzed by

    the Mechanistic-Empirical Pavement Design Guide (MEPDG). The methodology proposes using a previously fit

    response surface, in place of the time-demanding implicit limit state functions used within the MEPDG, in

    combination with an analytical approach to estimating reliability using First-Order and Second-Order Reliability

    Methods (FORM and SORM). Additionally, in order to assess the accuracy of the FORM and SORM reliability

    estimates, Monte Carlo simulations are also performed.

    A case study based on a three-layered pavement structure is used to demonstrate the methodology. Several

    pavement design variables are treated as random; these include HMA and base layer thicknesses, base and

    subgrade modulus, and HMA layer binder and air void content. Information on the variability and correlation

    between these variables are obtained from the Long-Term Pavement Performance (LTPP) program.

    Response surfaces for limit states dealing with HMA rutting failure are fit using several runs of the MEPDG based

    on a factorial design of combinations among the aforementioned random variables, as well as traffic, structural, and

    climatic considerations. These response surfaces are then used to analyze the reliability of the given pavement


    Using the second moment and simulation techniques, it was found that on average the reliability estimate by the

    MEPDG is very conservative. Additionally, the validity of the methodology is verified by means of direct

    simulation using the MEPDG. Finally, recommendations on fitting the response surface are provided to ensure the

    applicability of the methodology.

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