Macro-prediction Analysis of Cold Recycled Asphalt Pavement Performance Based on Grey Model.

The cold recycling of asphalt pavement has gradually become an important tool for maintenance and reconstruction of old roads because of its economic and environmental characteristics, but it's difficult to evaluate the practical application effect of cold recycling technology due to the lack of macro-level analysis of the performance of the cold recycled pavement. To comprehensively analyze the condition of road network-level cold recycled asphalt pavement (RAP) and evaluate the value of cold recycling technology promotion, in this study the performance indexes of cold recycling technology for asphalt pavement were comprehensively analyzed, the performance and change law of cold RAP were macroscopically predicted, the evaluation index (CRPI) and road network-level fuzzy prediction evaluation system of cold recycled pavement were proposed, and the pavement surface condition index(PCI), riding quality index(RQI), rutting depth index(RDI), and pavement structural strength index (PSSI) were selected as macroscopic evaluation indexes of road network-level cold recycling pavements. Combined with the improved analytic hierarchy process, the weight of the selected index was assigned, and the evaluation levels were divided into three standards: superior, medium, and poor. Finally, based on the C# programming language, combined with grey prediction model and integral algorithm, a fuzzy prediction and evaluation system for the performance of road network-level cold RAP was developed, and the reliability of the prediction was verified based on the actual measurement data. Results show that in the network-level fuzzy prediction and evaluation system of cold RAP technology, the weights of PCI, RQI, QDI, and PSSI are assigned as 0.20, 0.07, 0.20, and 0.53. The predicted value of the performance prediction system for cold RAP has a good correlation with the actual test value, and the relative error is small. The system can obtain the evaluation curve of each index and calculate the comprehensive performance score, and realize the prediction of the overall development trend of cold RAP performance. It shows that the system can analyze and predict the performance of cold RAP at the macro-level. Conclusions of this study provide index system and system support for the macroscopic analysis of cold RAP performance, and also provide reference for related research work. [ABSTRACT FROM AUTHOR]