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    A probabilistic approach for asphaltic pavements design in Brazil

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    Trabalho apresentado em evento
    Date
    2016
    Author
    Santos, Caio Rubens
    Suzuki, Carlos Yukio
    Bernucci, Liedi Legi Bariani
    Metadata
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    Abstract
    A deterministic approach is often used on roadway pavements design. The inherent variability to the relevant parameters of the construction and performance of a pavement is generally despised. However, it can be considered by using a probabilistic approach, where every single parameter is characterized by an adequate probabilistic distribution. The Brazilian design method preconized by DNIT determines the minimum granular material thickness to protect the subgrade. The granular material is converted on layer materials according to the different structural coefficient of each material. By selecting a thickness higher than the minimum required by the method, the result is a pavement structure with a higher probability of success. In other words, a higher thickness means a higher reliability level on the design process. The reliability level is considered on the AASHTO design method, where the structural number required must be increased due to the desired reliability. This paper proposes the use of the probabilistic approach on the asphaltic pavement design. The proposed model determines the reliability of a pavement structure design by comparing the predicted traffic during the analysis period and the allowable, both characterized by probabilistic distributions, calculated using Monte Carlo method. The reliability is determined for both design methods, DNIT and AASHTO. The conducted case study showed the influence of reliability in the structure design and its performance. Thus, by varying thicknesses of the layers is possible, using the proposed model, the calculation of reliability level, or the probability of success or failure, for the designed structure. © Copyright 2016 by Mairepav8 2016 Organizers.
    1. Design method
    2. Monte carlo simulation
    3. Probabilistic analysis
    4. Reliability
    5. Design
    6. Granular materials
    7. Highway planning
    8. Intelligent systems
    9. Monte Carlo methods
    10. Pavements
    11. Probability distributions
    12. Reliability
    13. Reliability analysis
    14. Design method
    15. Deterministic approach
    16. Inherent variability
    17. Probabilistic analysis
    18. Probabilistic approaches
    19. Probabilistic distribution
    20. Probability of success
    21. Structural coefficient
    22. Structural design
    URI
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85003666698&doi=10.3850%2f978-981-11-0449-7-104-cd&partnerID=40&md5=e56c88ce08cab4177eb47c5300e00cc9
    https://repositorio.maua.br/handle/MAUA/830
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