Dynamic Response Analysis And Performance Prediction Of Jilin Perpetual Asphalt Pavement

Suffering a long period of high and low temperature, freezing and thawingcycle, rain, ultraviolet radiation and many other harsh environmental conditions,coupled with repeated vehicle loads, asphalt pavement usually occurs rutting,fatigue cracks, slippage, swelling, subsidence and other damage. Moreover, with theincreasing of the traffic volume and axle load amplitude, asphalt pavement isprematurely damaged, resulting in greatly degradation of pavement performanceand serious shortening of its service life. As a result, to understand dynamicresponse of asphalt pavement under the coupling of actual load and environmentbecomes a hot research aspect within road engineering.Common structural response analysis methods of asphalt pavement includetheoretical analysis, numerical simulation and field measurement. However, for thefirst two research methods, because of the complicated calculation process and thedifficult access to some parameters, a lot of inconveniences are caused to thecorresponding studies. Combined with the lack of measured data in the field, theauthenticity and validity of the results are unable to verify. Measurement analysismethod can effectively compensate for such deficiencies, making the analyticprocess more convenient and the research results more accurate. As a result, FBGsensors were installed in the pavement structure to collect dynamic response ofasphalt pavement. The research herein will focus on dynamic response analysis andperformance prediction of the studied asphalt pavement.Firstly, structure information monitoring system of asphalt pavement wasestablished to provide a real-time online remote monitoring and long-term high-frequency continuous data acquisition. Batch processing method for massive datawas proposed according to the characteristics of the measured data, data processingand analysis program in Matlab was accomplished to realize automatic and rapidscreening of original data and access of key information such as the peak responseand the response time.Secondly, distribution characteristics of dynamic response within asphaltpavement subjected to vehicle load were analyzed. Time and spatial distribution ofdynamic response were measured. And the effects of vehicle speed, axle load and temperature on dynamic response were obtained. Analyzing statisticalcharacteristics of dynamic response, performance of the four pavement structureswere compared and evaluated. The relationship between dynamic response andparameters, such as vehicle axle load, speed, temperature, asphalt layer thicknessand modulus were analyzed, and prediction model of asphalt pavement dynamicresponse under vehicle load was established.Thirdly, dynamic response of asphalt pavement under FWD load was analyzed.In-situ FWD load test was proceeded, surface deflection of different pavementstructures under different temperatures and different loads were obtained, modulusof pavement structures under different temperatures were back calculated. Therelationship between dynamic response of pavement structure and surfacedeflection was analyzed, and prediction model of asphalt dynamic response underFWD load was established.Fourthly, temperature field of asphalt pavement was studied. Time and spatialdistribution of pavement temperature were measured; temperature distributioncharacteristics of asphalt pavement were analyzed by using statistical analysismethod. The relationship between pavement temperature field and meteorologicaldata was analyzed, and prediction model of pavement temperature field which issuitable for this region was established by the regression analysis.Finally, rutting performance and fatigue life of asphalt pavement was analyzed.Rutting prediction model and fatigue cracking prediction model were establishedbased on in-situ measured data and the test parameters, rutting depth and fatiguelife of the four perpetual pavement structures were obtained.In this paper, processing and analysis method of data measured by FBGsensors were studied, dynamic response characteristics and temperature fielddistribution of asphalt pavement were analyzed, in addition to the responseprediction model and performance prediction model of asphalt pavement wereestablished, which proves having high practical value and a good reference forsimilar project.