Assessment And Prediction Of Key Index Of Flexible Pavement Work Performance

In the use of asphalt pavement, the surface can be early damaged and the ability of service will drop because of the continuous traffic load, the various environmental factors, the aging mechanism and the construction failure. Pave-ment damage greatly reduce the traffic quality, influence the running safety andreduce the service life of the pavement. With the development of high-grade h-ighway, the maintenance will be more and more important.According to these disadvantages, this thesis will do depth study on serving performance of asphalt pavement of high-grade highway. Based on the researchon the current situation, the thesis analyzes the main diseases of asphalt pavement of high-grade highway, and also offers relevant measures. The thesis introduces and analyses the performance assessment index and normal evaluation models. The thesis also introduces in detail the current evaluation models which have been used in the pavement. By confirming the asphalt pavement technicalstatus of the individual target (road damage, road roughness, rutting, slip resistance and structural strength),as well as using the gray system model, the thesis confirms the sample matrix,whitening function and the grey class, so that it can build the evaluation modes basing on Grey Clustering Method and makescientific evaluation to the work condition of road surface. At the same time, the thesis also makes a short-term prediction through establishing dynamic models and using grey system theory and support the decision for the curing of seniorasphalt pavement, which is of great realistic significance.