首页> 外文会议>International Conference of Concrete Pavement,China(耐久性水泥混凝土路面学术交流会) >Measurement of Cement Concrete Road Surface Macro-texture Based on Three-dimensional Optical Dense Point Clouds
【24h】

Measurement of Cement Concrete Road Surface Macro-texture Based on Three-dimensional Optical Dense Point Clouds

机译:基于三维光学密集点云的水泥混凝土路面宏观纹理测量

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Surface macro-texture in rigid pavements plays an important role in providing safety (providing skid reswastant surfaces) for the traveling public. In general, macro-texture of cement concrete pavements had been measured through sand patch method in China. With the development of measurement technique, some quick methods were applied, such as laser cross-section instrument. But it was unsuitable for the grooving concrete pavement because of its restrictions on measurement principle. So measurement of concrete pavement surface macrotexture based on 3-D optical dense point clouds was introduced in this paper. First, 3-D coordinates of the pavement surface were obtained by the 3-D optical measurement system, then 3-D texture model would be rebuilt with self-programming softwwere, at last the Mean Texture Depth (MTD) of surface could be calculated and compwered with sand patch method. The article studies brooming, grooving and exposed-aggregate cement concrete pavements, and make a correlation analyswas between MTD values of these two methods. The results indicated that they had good correlation, and the measurement technique based on 3-D optical dense point clouds could be used to evaluate cement concrete pavement surface macro-texture quickly and.
机译:刚性路面中的表面宏观纹理在为行人提供安全性(提供防滑的废料表面)方面起着重要作用。总体而言,在中国,水泥混凝土路面的宏观纹理是通过沙块法测量的。随着测量技术的发展,应用了一些快速的方法,例如激光截面仪。但是由于其对测量原理的限制,因此不适合用于开槽的混凝土路面。因此,本文介绍了基于3-D光学密集点云的混凝土路面宏观纹理测量。首先,通过3-D光学测量系统获得路面的3-D坐标,然后使用自编程软件重建3-D纹理模型,最后可以计算出表面的平均纹理深度(MTD)并用补砂方法处理。本文研究了扫帚,开槽和裸露的骨料水泥混凝土路面,并在这两种方法的MTD值之间进行了相关分析。结果表明它们具有良好的相关性,并且基于3-D光学密集点云的测量技术可用于快速,快速地评估水泥混凝土路面的宏观纹理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号