摘要
为了准确、科学地进行沥青路面性能状况评价和养护维修决策,对北京市多条高速公路沥青路面状况指数（PCI）历年检测数据进行了调查和分析,利用分类统计方法,研究了不同养护模式下的高速公路沥青路面状况指数变化规律,提出了考虑不同养护模式的路面状况指数的指数型预测模型.研究结果表明：路面使用龄期不同,路面养护维修类型和强度也不同.不同养护模式下,沥青路面状况指数呈现低强度下降和波浪形高强度衰变趋势,在使用寿命末期,路面状况指数呈急剧衰变趋势.对于北京地区,路面衰变参数a的取值为0.008~0.035.该预测模型具有较高的精度,预测结果符合高速公路沥青路面衰变趋势和养护维修规律.
In order to make accurate and scientific performance evaluation and maintenance decision of asphalt pavement,the pavement condition index（ PCI） detection data of asphalt pavement of Beijing expressways in different years was investigated and analyzed in this paper. The PCI decay trend was studied and an exponential type prediction model of PCI under different maintenance mode was summarized. Result shows that the maintenance type and intensity is different at different ages of expressways. PCI of expressways may decrease in a low intensity manner or in a wave shaped high intensity manner under different maintenance modes. When the age of expressway approaches its severing life the PCI shows a sharp decay trend. In Beijing area,the value of pavement factor ＂a＂is between0. 008 ~ 0. 035. Prediction result of PCI presented in this paper is more accurate and accords with the asphalt pavement PCI decay trend of expressways and maintenance manner. The result of this paper provides a theoretical support for the accurate prediction of PCI and maintenance decision of expressway pavement.
出处
《北京工业大学学报》
CAS
CSCD
北大核心
2016年第1期74-80,共7页
Journal of Beijing University of Technology
基金
国家自然科学基金资助项目(51478021)
关键词
道路工程
高速公路
沥青路面
路面状况指数
评价
预测模型
养护决策
road engineering
expressway
asphalt pavement
pavement condition index（PCI）
evaluation
prediction model
maintenance decision
