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NCHRP 1-37A法预测沥青路面性能的验证研究
引用本文:赵延庆,薛成,曾辉.NCHRP 1-37A法预测沥青路面性能的验证研究[J].重庆交通大学学报(自然科学版),2008,27(4):564-567.
作者姓名:赵延庆  薛成  曾辉
作者单位:1. 江苏省交通科学研究院,江苏,南京210017
2. 中交集团二公局华盟公司,广东,深圳518054
摘    要:路面结构性能预测模型是路面结构设计的经济技术分析的核心,预测模型的精度将直接影响设计和分析结果的可靠程度。美国2004年通过NCHRP 1-37A项目推出的力学-经验设计方法受到了国际道路界的广泛重视。以某高速公路柔性基层试验段为依托工程,对NCHRP 1-37A设计方法中性能预测模型在我国的适用性进行了验证研究。按照NCHRP 1-37模型的要求,确定了材料、交通和气候等各方面的输入参数。利用性能模型预测了试验段的车辙、疲劳开裂和低温开裂,通过和试验段通车两年的现场检测数据相比较,表明NCHRP 1-37A模型的短期预测结果精度较好。根据当地半刚性基层沥青路面的使用经验,长期车辙预测值可能偏小。

关 键 词:NCHRP  1-37A性能模型  动态模量主曲线  轴载谱  气候参数  试验段性能观测

Validity Study on Predicting the Performance of Asphalt Pavement Using NCHRP 1-37A Method
ZHAO Yan-qing,XUE Cheng,ZENG Hui.Validity Study on Predicting the Performance of Asphalt Pavement Using NCHRP 1-37A Method[J].Journal of Chongqing Jiaotong University,2008,27(4):564-567.
Authors:ZHAO Yan-qing  XUE Cheng  ZENG Hui
Abstract:TPavement performance prediction models are essential for pavement structure design and economic analysis,and the accuracy of the model directly influences the reliability of design and analysis results.The mechanistic-empirical pave- ment design method developed under NCHRP 1-37A project has gained great attention.Validity of the NCHRP 1-37A per- formance models was evaluated through an asphalt pavement test section with flexible base.Materials,traffic and environ- ment parameters were found out,according to the requirements of NCHRP 1-37A models.Rutting,fatigue cracking and ther- mal cracking were predicted and the predicted distresses were compared with the measured distresses.The results show that short-term prediction results of NCHRP 1-37A models are reasonably accurate and that of long-term rutting prediction ap- pears to be smaller,based on local experiences on asphalt pavements with semi-rigid bases,while the actual accuracy of long-term prediction results needs to be verified by continuous performance monitoring of the test section.
Keywords:NCHRP 1-37A performance models  dynamic modulus master curve  load spectra  environmental parameters  performance monitoring of test section
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