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Mathematical characterization of road surface texture and its relation to laboratory friction measures.

机译:路面纹理的数学表征及其与实验室摩擦测量的关系。

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摘要

Pavement profiles generally have many of the statistical properties of random signals, it is difficult to distinguish the different surfaces mathematically based on the factors of construction date of a road, daily traffic conditions, etc. To further understand the features of polishing process on pavement surfaces, experimental texture measurements and Data Dependent Systems (DDS) approach were utilized to model and analyze the elevation profiles collected from polished and unpolished aggregate surfaces of Aggregate Wear Index (AWI) wear track. The sampling step size was explored carefully to determine which sampling step size could reveal the properties of tire polishing process. The DDS approach was then used to model and analyze those elevation profiles. It was found that the DDS approach was able to capture both the characteristics of the evolved macrotexture and microtexture and the polishing effect on the aggregate surfaces is found to reduce the macrotexture roughness significantly. The second part in this thesis is to exhibit a texture analysis from several bituminous pavement surfaces obtained from Michigan. Since traffic abrades the pavement surface, exposing aggregates and makes aggregates worn and polished, the polishing properties of coarse aggregates play a significant role in determining skid resistance. Therefore, 1 micron step size scan was used to collect the elevation profile from exposed aggregates and 45 micron step size scan was arranged to collect data from texture surface on each core surface, respectively. DDS approach was utilized to model and analyze the data for both 1 micron and 45 micron step size scans. The characteristics of both microtexture and macrotexture were derived by applying different criteria to DDS modeling analysis and they were correlated to the British Pendulum Tester numbers (BPNs) Laboratory Friction Tester values (LBF) obtained on the same core. A good correlation was found from some mixed type of pavements.
机译:路面轮廓通常具有许多随机信号的统计特性,很难根据道路的建设日期,日常交通状况等因素在数学上区分不同的表面。要进一步了解路面的抛光过程的特征,实验纹理测量和数据相关系统(DDS)方法用于建模和分析从集总磨损指数(AWI)磨损轨迹的抛光和未抛光集料表面收集的高程剖面。仔细研究了采样步长,以确定哪个采样步长可以揭示轮胎抛光过程的特性。然后,使用DDS方法对这些海拔剖面进行建模和分析。已经发现,DDS方法能够捕获演变的宏观纹理和微观纹理的特征,并且发现在骨料表面上的抛光效果显着降低了宏观纹理的粗糙度。本文的第二部分是对从密歇根州获得的几个沥青路面进行纹理分析。由于交通磨损了路面,使骨料暴露出来并使骨料磨损和抛光,因此粗骨料的抛光性能在确定防滑性方面起着重要作用。因此,分别使用1微米步长扫描来收集暴露的聚集体的高程轮廓,并安排45微米步长扫描来收集每个核心表面上纹理表面的数据。 DDS方法用于对1微米和45微米步长扫描的数据进行建模和分析。微观纹理和宏观纹理的特征是通过将不同的标准应用于DDS建模分析而得出的,并且它们与在同一岩心上获得的英国摆锤测试仪编号(BPN)和实验室摩擦测试仪值(LBF)相关。从某些混合类型的路面中发现了很好的相关性。

著录项

  • 作者

    Huang, Chengyi.;

  • 作者单位

    Michigan Technological University.;

  • 授予单位 Michigan Technological University.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 110 p.
  • 总页数 110
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

  • 入库时间 2022-08-17 11:45:35

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