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高速公路沥青路面使用性能模糊区间评价方法研究

Freeway Asphalt Pavement Performance Based on Fuzzy Interval Evaluation Method

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【作者】 李海莲林梦凯王起才

【Author】 LI Hailian;LIN Mengkai;WANG Qicai;School of Civil Engineering,Lanzhou Jiaotong University;Key Laboratory of Road & Bridge and Underground Engineering of Gansu Province,Lanzhou Jiaotong University;

【机构】 兰州交通大学土木工程学院兰州交通大学甘肃省道路桥梁与地下工程重点实验室

【摘要】 针对高速公路沥青路面使用性能评价结果过于宽泛且难以有效预测路面使用性能发展态势的问题,笔者采用区间数、模糊分析及粗糙集不完备系统等评价理论,结合沥青路面结构性能、功能性能、车辙性能及安全性能评价指标体系特点及五级评价等级,研究建立了一种基于模糊区间数的高速公路沥青路面使用性能评价模型,应用区间数标度各个评价指标权重及评价结果,并通过实例验证了模型的有效性和评价结果的可靠性。研究结果表明:该评价方法不仅能够对高速公路沥青路面使用性能做出客观有效的评价,同时可对其演变趋势做出二级偏向性评价,评价结果为沥青路面使用性能的预测及养护决策提供了可靠的基础数据。

【Abstract】 In view of the problem that the evaluation results of expressway asphalt pavement performance were too broad and it was difficult to effectively predict the development trend of pavement performance,the highway asphalt pavement performance evaluation model based on fuzzy interval number theory was established and studied,which adopted the evaluation theory of interval number,fuzzy analysis and rough set incomplete system,combined with the characteristics of asphalt pavement evaluation index system such as structure performance,functional performance,rutting performance and safety performance evaluation index system and the evaluation of the five grades. The interval number was used to scale the weight of each evaluation index and its evaluation results. The effectiveness of the proposed model and the reliability of the evaluation results were verified by a case study. The results show that the proposed evaluation method can not only objectively and effectively evaluate the performance of expressway asphalt pavement,but also make a second-order bias evaluation of its evolution trend. The evaluation results provide reliable basic data for the prediction and maintenance decision of asphalt pavement performance.

【基金】 国家自然科学基金项目(51868042);甘肃省杰出青年基金项目(1606RJDA318);甘肃省青年科学基金项目(17JR5RA087);甘肃省高等学校创新能力提升项目(2019B-055);兰州交通大学青年科学基金项目(2017016);兰州交通大学“百名青年优秀人才培养计划”基金项目(2018103)
  • 【文献出处】 重庆交通大学学报(自然科学版) ,Journal of Chongqing Jiaotong University(Natural Science) , 编辑部邮箱 ,2020年09期
  • 【分类号】U416.217
  • 【被引频次】12
  • 【下载频次】314
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