欢迎访问《空军工程大学学报》官方网站!

咨询热线:029-84786242 RSS EMAIL-ALERT
基于蒙特卡洛检验的沥青路况评价模型破损面积修正方法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TU418.4

基金项目:

multiattribute risk decision making; relative superiority; risk measurements


A Statistical Damage Area Evaluation Model of Asphalt Pavement Condition Based on Monte Carlo Testing Method
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对现行规范中对沥青路面破损面积的评定不够明确等问题,提出修补宽度达到路段宽度时不应参与路面破损状况评价,重新选取修补损坏面积换算系数(K)为0.7;提出一种基于蒙特卡洛算法的Matlab检验方法对K=0.7的合理性进行了检验,先将已有数据输入Matlab分布拟合,得出影响路况指数(PCI)的修补面积、裂缝总长度、其他破损面积等因素服从的分布函数,进而使用蒙特卡洛算法模拟得出大量数据,计算相应的PCI,得出路况评价结果。最后通过与实际路况比较和实际工程应用进行检验,证明了K取0.7可以得到合理的统计计算破损面积方法

    Abstract:

    Aimed at the problems that evaluation of pavement damage area in current standards is not clear enough, a current asphalt pavement condition evaluation model is introduced. If the repair area width reaches the pavement width, this should not be involved in pavement damage condition evaluation. Conversion coefficient K of repairing damage area should be 0.7. A Matlab testing method based on Mandonte Carlo algorithm is put forward to examine the rationality of K being 0.7. The concrete conditions are as follows: First, input the known data to Matlab to fit, and then, derive the functions of elements obey affected pavement condition index, such as repair area, total crack length and other damage areas, etc., Last, calculate the corresponding PCI to get the result of pavement condition evaluation by using Monte Carlo algorithm. Through the comparison with the actual pavement conditions and the actual test, the rationality of K being 0.7 is verified.

    参考文献
    相似文献
    引证文献
引用本文

李其轩,于洪江,张晓义,唐志强.基于蒙特卡洛检验的沥青路况评价模型破损面积修正方法[J].空军工程大学学报,2015,(5):93-95

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2015-12-25
  • 出版日期: