Variation Law Of Anti Sliding Performance Of Cement Concrete Pavement Based On LTPP Test Data And Its Application

The cement concrete pavement has a very good prospect in China.Anti sliding performance is one of the most important contents to show the workability of cement concrete pavement.In China,the study on the anti sliding performance of cement concrete pavement is mainly based on the indoor test simulation method,and the attenuation law of anti sliding performance is studied from the macro and micro structure of the pavement.There is no long-term change tracking system of anti sliding performance,lack of long-term detection and statistical data on anti sliding capacity and accident rate of pavement.Therefore,it is difficult to comprehensively and deeply study the trend of anti sliding performance of pavement under the comprehensive action of material factors,external environment factors and traffic load factors in the real pavement service environment.This paper studies the anti sliding performance of cement concrete pavement by using the testing data of cement concrete pavement in LTPP database of USA.The main contents and achievements are as follows:（1）Based on the references at home and abroad,from the perspective of tire pavement interaction,the paper studies and analyzes the widely used prediction models of pavement anti sliding performance at present:Penn State model,Rado model and PIARC model.The interaction between tire and pavement is summarized into four forces,and the mechanism of anti sliding performance of pavement is clarified.（2）Based on the theoretical analysis of anti sliding mechanism of cement concrete pavement,considering the complexity of the road surface service environment in reality,this paper puts forward many factors affecting the anti sliding performance of pavement,extracts the data of relevant factors from the LTPP database of the United States,preprocesses and analyzes the data,and selects the main parameters influencing the anti sliding performance of the pavement according to the correlation coefficient The database of influencing factors of anti sliding performance of cement concrete pavement is established.（3）Based on MATLAB software,the paper uses the powerful multi-linear fitting ability of neural network and constructed a good database,takes the anti sliding performance value of pavement as the only output layer,and establishes the BP neural network prediction model of pavement anti sliding performance based on the input layer of each influencing factor.The law of anti sliding performance of pavement with each influencing factor is studied by sensitivity analysis.（4）This paper compares and analyzes the measurement methods of pavement anti sliding performance in China and the United States,and establishes the transformation relationship betweenandof pavement anti sliding performance index in China and the United States.Through summarizing the existing achievements on pavement anti sliding performance and accident rate and foreign pavement anti sliding performance management standards,the evaluation standard of pavement anti sliding performance indexin the United States is obtained,and the evaluation standard of pavement anti sliding performance indexin the United States is used Based on the prediction data of the network prediction model,the transformation relationship betweenandis obtained,and then combined with the transformation relationship betweenand,the evaluation standard of pavement anti sliding performance indexin China is finally obtained,and the relevant design specifications and evaluation standards of pavement anti sliding performance in China are evaluated by using the results.