路面病害评价体系和处治措施优化研究

发布时间：2018-11-10 11:37

【摘要】：自上个世纪八十年代初,至今我国的公路事业已取得了跨越式的飞进,特别是在沥青公路领域,达到了前所未有的巨大增长。但是在沥青路面公路高速发展的同时,路面也长期经受着环境、气候的考验；车辆的轴载负荷碾压以及雨雪冰雹的侵蚀破坏等等。随着这些因素诞生了道路路面的一系列病害,出现了类似裂缝、车辙、沉陷等病害类型。这些影响因素不但使得道路质量下滑严重,对行车舒适性和安全性有很大的影响；而且极度地使公路基础建设的投资效益受到损失。所以当前沥青路面的病害管理和养护维修成为了一个重大的研究课题。本文针对此项课题,对于沥青路面的使用性能做了细致的研究,主要研究了此领域两个重要的问题,分别是路面的使用性能评价方法研究和路面病害养护决策的优化问题。首先比较系统的归纳总结了木前路面病害管理系统的研究现状和一些重要的科研成果；其次,简要地介绍了常用的路面病害检测的仪器以及检测的项木和评价指标。由于鉴于传统的单项统计分析和多元线性统计回归分析建立起来的评价体系有着不足之处,其很难反应出高度复杂化的非线性关系,所以本文通过基于BP神经网络方法建立了路面性能的综合评价模型和加权方法,来对路面的使用性能进行评价；本文对路面的综合使用性能评价,采用了几何加权平均的方法进行计算,避免了指标之间好坏互补的问题,从而能更加真实地反映出路面的状况,具有一定的实践意义。在路面病害处治及养护管理方面,对病害提出了相应的处治措施并建立了沥青路面的养护决策优化模型；并针对多个对象决策问题的本文采用加权算法的偏差平方和最小的的方法来对道路的养护维修决策进行优先排序。最后在通过工程实例的对比检验达到验证理论的作用。现在对沥青路面使用性能的评价方法研究一直在不断进步和创新的过程中,本文对路面病害管理系统评价和病害处治做了综合的分析和评价,对于以后的沥青路面管理和养护理论研究有一定程度的参考作用。
[Abstract]:Since the beginning of the eighties of last century, China's highway industry has made leaps and bounds, especially in the field of asphalt highway, has reached an unprecedented huge growth. However, with the rapid development of asphalt pavement highway, the pavement also stands the test of environment and climate for a long time, the axle load of vehicle rolling and the erosion and destruction of rain, snow and hail, and so on. Along with these factors, a series of road surface diseases appeared, such as cracks, ruts, subsidence and so on. These influencing factors not only make the road quality decline seriously and have a great influence on the driving comfort and safety, but also make the investment benefit of highway infrastructure extremely lose. Therefore, the current asphalt pavement disease management and maintenance has become a major research topic. In this paper, the performance of asphalt pavement has been studied in detail, and two important problems in this field, namely, the evaluation method of pavement performance and the optimization of pavement maintenance decision, have been studied. Firstly, the research status and some important scientific achievements of wood front pavement disease management system are summarized systematically. Secondly, the commonly used instruments for pavement disease detection, the items of wood and evaluation indexes are briefly introduced. In view of the shortcomings of the traditional evaluation system based on single statistical analysis and multivariate linear statistical regression analysis, it is difficult to reflect the highly complex nonlinear relationship. So this paper establishes the comprehensive evaluation model and weighted method of pavement performance based on BP neural network method to evaluate the pavement performance. In this paper, the method of geometric weighted average is used to evaluate the comprehensive performance of pavement, which avoids the problem of good or bad complementation between indexes, and thus can reflect the condition of pavement more truthfully, which has certain practical significance. In the aspect of pavement disease treatment and maintenance management, the corresponding treatment measures are put forward and the maintenance decision optimization model of asphalt pavement is established. In this paper, the method of minimum sum of deviation square of weighted algorithm is used to prioritize the maintenance and repair decision of roads. Finally, through the comparative test of engineering examples to verify the role of the theory. Now the research on the evaluation method of asphalt pavement performance has been in the process of continuous progress and innovation. This paper makes a comprehensive analysis and evaluation on pavement disease management system evaluation and disease treatment. For the future asphalt pavement management and maintenance theory research has a certain degree of reference.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U418.6

【参考文献】