| With the continuous increase of highway mileage in country,the number of casualties due to traffic accidents remains high every year.The anti-skid performance of roads is an important indicator reflecting road safety and road service performance.However,Chinese highways have resistance to traffic after opening.The problem of slip performance decays too fast and the detection of anti-slip parameters at different detection temperatures will cause a certain degree of deviation.In response to the above problems,this paper relies on the Beijing full-scale ring road,through the summary and processing of outdoor test data in the past 5 years,the law of anti-skid decay of asphalt pavements of different grades and the temperature correction of anti-skid parameters of asphalt pavements are studied.First,the laser texture depth,pendulum value,and lateral force coefficients of the four surface layers of the full-scale pavement test loop are sorted and analyzed,and different anti-skid parameters change with the cumulative standard axle load are obtained,and the asphalt pavement resistance is qualitatively analyzed.The law of sliding parameter decay,and the Asymptotic function model is used to fit the data to quantitatively analyze the rate and magnitude of the decay of the anti-sliding parameter of the surface layer with different gradation types.The results show that the decay process of anti-skid parameters generally shows a trend of decreasing、increasing、decreasing、stable;and it is found that this Asymptotic function model still maintains a high level when it fits the changes of various anti-skid data measured outdoors.The attenuation rate of the overall anti-skid parameters of the compact structure of the skeleton is greater than that of the void structure of the skeleton.For different gradation types,the attenuation amplitude of the anti-slip parameters is different.Secondly,in order to explore whether the temperature of the pavement structure has an impact on the detection of anti-slip indicators,based on the measured climate data and the temperature data of the pavement structure,the distribution law of the full-scale ring road surface temperature is analyzed,and the pavement temperature field prediction model is established based on the numerical analysis method.The study found that in a year of change,the temperature of the pavement structure has a daily and annual change cycle with depth changes.There are two changes in the upper part of the pavement structure at the same time,and there is only an annual change cycle in the lower part of the pavement structure.The prediction accuracy of the road surface structure temperature field prediction model established in this paper is higher in the vicinity of the road surface,and the prediction accuracy of the model decreases with the increase of depth.Finally,through the analysis of the pendulum data of the unloaded traffic lane,it is found that the pendulum changes are similar to the changes in the road surface temperature,and there are also annual and daily change cycles.The anti-skid performance in the four seasons of the year is ranked as follows: winter > spring and autumn > summer.The pendulum value is usually the smallest when the road surface temperature reaches the highest value at noon in a day,and the pendulum value is relatively large in the morning or evening,showing a negative correlation trend compared with the temperature change.Therefore,the temperature correction value of the pendulum value in this paper can be composed of two parts,namely: seasonal temperature correction value and daily temperature correction value.By selecting appropriate temperature parameters and mathematical models,the correlation between temperature parameters and pendulum values is established,and the seasonal temperature correction value and daily temperature correction model of the pendulum value are obtained. |