华南理工大学学报(自然科学版) ›› 2008, Vol. 36 ›› Issue (6): 67-71.

• 交通运输工程 • 上一篇    下一篇

应用聚类分析法确定沥青路面预防性养护方案

曾峰张肖宁李智2   

  1. 1. 哈尔滨工业大学 交通科学与工程学院, 黑龙江 哈尔滨 150090;2. 华南理工大学 道路工程研究所, 广东 广州 510640
  • 收稿日期:2007-07-03 修回日期:2007-09-09 出版日期:2008-06-25 发布日期:2008-06-25
  • 通信作者: 曾峰(1981-),男,博士生,主要从事路面养护工作研究. E-mail:zengqingfeng@gmail.com
  • 作者简介:曾峰(1981-),男,博士生,主要从事路面养护工作研究.
  • 基金资助:

    交通部西部交通建设科技项目(200431800004);广东省公路养护管理模式科技项目(2004-25);广东省博士科研启动基金项目(05300135)

Determination of Preventive Maintenance Program of Asphalt Pavement by Means of Clustering Analysis

Zeng Feng1  Zhang Xiao-ning2  Li Zhi2   

  1. 1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, Heilongjiang, China ; 2. Institute of Road Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China
  • Received:2007-07-03 Revised:2007-09-09 Online:2008-06-25 Published:2008-06-25
  • Contact: 曾峰(1981-),男,博士生,主要从事路面养护工作研究. E-mail:zengqingfeng@gmail.com
  • About author:曾峰(1981-),男,博士生,主要从事路面养护工作研究.
  • Supported by:

    交通部西部交通建设科技项目(200431800004);广东省公路养护管理模式科技项目(2004-25);广东省博士科研启动基金项目(05300135)

摘要: 为解决以经验法制定预防性养护方案时存在的不可量化的问题,在深入调查预防性养护技术发展历史和研究现状的基础上,根据多年来广东省成功运用预防性养护技术的经验,提出了预防性养护方案的设计流程.将系统聚类法和动态聚类法引入该流程.给出了聚类分析法划分养护路段的具体步骤.依托实际工程项目,选取广东省某高速公路进行验证,设计并实施了该高速公路2007年的养护方案.实施结果表明,所提出的流程和所采用的方法是有效的、可行的.

关键词: 沥青路面, 预防性养护, 路段划分, 聚类分析

Abstract:

In order to determine a quantitative preventive maintenance program which is lacking in the Experience method, both the development history and the research status quo of the preventive maintenance technology are deeply investigated, and a design procedure of the preventive maintenance program is proposed based on the successful experiences in Guangdong Province for many years. Moreover, the methods of hierarchical clustering and dynamic clustering are introduced into the proposed procedure, and some specific steps of pavement segmentation are provided. The proposed procedure has been adopted to design and implement a practical preventive maintenance program of a freeway in Guangdong Province in 2007. The results indicate that the proposed procedure and the clustering methods are all effective and feasible.

Key words: asphalt pavement, preventive maintenance, pavement segmentation, clustering analysis