Abstract

AbstractIn order to model perpetual pavement response, the traffic loads, pavement temperature, and mechanics responses collected from the Shandong perpetual pavement test road were used to develop axle load spectrums, temperature probability functions, and response regression models with load and temperature variables. The random sample methods of a probability distribution function were developed and the numerical simulation of parameter inputs and mechanical responses under a whole year of traffic volume and temperature cycles was realized. The results showed that the simulated mechanical response conformed to the actual response and both followed an approximate normal distribution. The response of different pavement structures was also compared. The research proves that the Monte Carlo method can help to understand the pavement mechanical response under the influence of both load and temperature. Finally, based on the simulated tensile strain distributions, the pavement fatigue life of all sections wa...

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