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Study On Calculation Of High Temperature Field And Rutting Prediction Of Asphalt Pavement In Typical Area Of Gansu

Posted on:2020-01-16Degree:MasterType:Thesis
Country:ChinaCandidate:K K ChenFull Text:PDF
GTID:2392330596977685Subject:Architecture and civil engineering
Abstract/Summary:PDF Full Text Request
Due to the great influence of temperature on asphalt material,the asphalt pavement is highly prone to rutting during the high temperature period in summer,which causes frequent traffic accidents and seriously affects the road capacity.Facing the current situation that the asphalt pavement frequently ruts during the high temperature period,if the temperature distribution law of the asphalt pavement structure can be grasped,the corresponding temperature field prediction model of asphalt pavement can be established to provide technical support for effectively preventing and controlling the early disease of asphalt pavement.In this paper,the typical data of 9 meteorological stations in Gansu Province are selected to collect the measured data during the high temperature in summer,using the measured temperature data of the asphalt pavement structure to study the temperature distribution data of the asphalt pavement in the typical area,and adopting statistical regression analysis method to analyze the correlation between temperature,solar radiation intensity and humidity and pavement structure temperature to establish the high temperature field prediction model of asphalt pavement with temperature,humidity,solar radiation intensity and pavement depth as the main parameters.After estimating the model,the rutting depth is obtained by ABAQUS finite element simulation,and the rutting prediction model is used to calculate the rut depth.Based on the prediction model of temperature field of asphalt pavement and the rutting prediction model established in this paper,the temperature field and rutting prediction models of asphalt pavement are used to develop a rut calculation software.The results of this study show that:(1)With the change of time,the temperature and the temperature change of the pavement structure are basically identical,the solar radiation intensity and the t rend of the pavement structure temperature are also basically identical,and the humidity and the trend of pavement structure temperature are opposite;(2)With the increase of pavement depth,the variation of temperature fluctuation of pavement structure tends to be more gentle.Affected by temperature,the asphalt pavement structure hysteresis is more and more obvious,and the variation range of pavement structure temperature under 30 cm pavement depth is less than 0.5 °C;(3)The cumulative time and depth of temperature and solar radiation intensity are approximately cubic polynomial,and the lag time and depth of temperature and solar radiation intensity are approximately quadratic polynomial.Through the trend analysis of the 10~50cm depth fitting curve of asphalt pavement,this paper determines the cumulative time and lag time of temperature and solar radiation intensity in the depth of 0~10cm of asphalt pavement;(4)According to the characteristics of altitude in 9 typical areas,this paper divides typical areas into high-altitude areas and low-altitude areas,and establishes suitable high-temperature field prediction models for asphalt pavements.The prediction results show that the classification modeling method is feasible.(5)Asphalt pavement temperature field and rutting estimation calculation software contribute to effectively obtain the asphalt pavement temperature field in time.According to the acquired asphalt pavement temperature field and the rutting prediction model,the corresponding rutting depth can be obtained.Compared with the traditional experimental means,the software of asphalt pavement temperature field and rutting prediction in this paper adopted in this paper ont only can save time and cost,but also it can provide technical services for the prevention and control of asphalt pavement in Gansu Province.
Keywords/Search Tags:Asphalt pavement, Measured data, Temperature field prediction model, Finite element analysis, Rut
PDF Full Text Request
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