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Development of reliable pavement models.

Filetype[PDF-4.51 MB]


  • English

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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

      structure.

      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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