Evaluation And Analysis Of Asphalt Pavement Performance Of Chang-zhu Highway Based On Measurement Uncertainty

With the rapid growth of volume of highway traffic in China in recent decades,asphalt pavement has been damaged,rutted,cracked,hugged and other diseases,which seriously threaten the road traffic safety.At the same time,detection technology of asphalt pavement is also constantly developing,more and more automatic detection equipment is applied to road testing.However,in the automated pavement disease detection,the researchers have found that the evaluation results of asphalt pavement disease detection data are different from the actual use of the road.The reason is that the uncertainty of measurement is not introduced into the test items and reports of asphalt pavement performance,but the test values measured in the field test are taken as the basis for the final evaluation of performance index of asphalt pavement.When the measured performance index of asphalt pavement is close to the defined critical value,the test results will be questioned because of the measurement uncertainty generated during the test.Therefore,it is necessary to issue test reports more objectively,fairly and accurately to meet user needs.Based on this,this article takes the performance index of asphalt pavement of chang-zhu highway as the analysis object,and carries out the evaluation and application research of measurement uncertainty.Firstly,the asphalt pavement detection data was obtained through the multi-functional road condition rapid detection equipment.The measurement uncertainty theory was used to mainly evaluate and analyze the measurement uncertainty of the asphalt pavement performance index including pavement surface condition index,riding quality index,rutting depth index,skidding resistance index.and pavement structure strength index.Secondly,based on the interval analysis theory and the uncertainty characteristics of the index,interval parameters are used instead of point parameters for interval calculation,and reliable interval results are obtained.In order to simplify the interval calculation,this paper proposes a point algorithm based on the interval operation rules,which is suitable for the interval value of the performance index of asphalt pavement,and the operation can be implemented using Excel tools.Finally,based on the gray system model,the interval parameters are used instead of the point parameters,and the algorithm of interval analysis is used to predict and analyze the road pavement surface condition index PCI and the road riding quality index RQI.Among them,the reason why the condition number of the GM(1,1)model matrix is too large is analyzed.Combining with the numerical characteristics of the asphalt pavement performance index PCI and RQI,the monthly attenuation value of PCI and RQI is used to predict the asphalt pavement performance.The results of interval prediction on the PCI and RQI of the asphalt pavement of the chang-zhu highway in recent years show that the GM(1,1)model for the interval prediction of monthly attenuation values of PCI and RQI can effectively reduce matrix condition number and improve the prediction accuracy...