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    Proposal of Numerical Model for Airport Pavement Management Purposes

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    FP417.pdf (1.076Mb)
    Date
    2018-09
    Author
    Camarena Campos, Karen Angela
    Flores Gonzales, Leonardo
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    Abstract
    This article presents the results of a quantitative investigation with descriptive and correlation scopes, where a database for pavements of a Peruvian airport was elaborated, with the purpose of developing a prediction numerical model of the pavement condition, which relates the pavement condition index (PCI) as a function of time (pavement age). Given the limitation of the pavement condition historical data and the need of them to know the pavement behavior under specific conditions (climate, traffic, material, among others) a quantitative numerical model is proposed applying Markov chains, calculating the Markov probability transition matrix from a data nonlinear logistic regression numerical process. Finally, the model validation is presented, which is the main tool of an Airport Pavement Management System (APMS), because it allows pavement status forecasting knowing its current status.
    URI
    http://dx.doi.org/10.18687/LACCEI2018.1.1.417
    http://axces.info/handle/10.18687/2018102_417
    URI Others
    http://laccei.org/LACCEI2018-Lima/meta/FP417.html
    Copyright
    https://laccei.org/blog/copyright-laccei-papers/
    Track
    Engineering Infrastructure, Construction Engineering, Logistics and Transportation
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    • 2018 LACCEI - Lima, Perú

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