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机构地区:[1]长安大学材料科学与工程学院,陕西西安710064 [2]江西省交通科学研究院,江西南昌330038 [3]南昌工程学院,江西南昌330099
出 处:《广西大学学报(自然科学版)》2013年第4期865-871,共7页Journal of Guangxi University(Natural Science Edition)
基 金:江西省自然科学基金项目(20122BAB206003);江西省交通运输厅2012年科技计划项目
摘 要:针对目前路面变形类病害因没有快速检测方法,在实际路面检测中往往被忽略的情况,使用车载激光传感器、加速度传感器和距离传感器测量沥青路面断面相对高程,并给出极值差指标用以判断路面是否发生变形类病害,用极值差大于10mm的路段长度乘以影响宽度得出变形类病害的破损面积,从而提出了一种基于激光三角测距原理的沥青路面变形类病害快速检测方法。以江西省某高速公路K0+000~K2+263段沥青路面损坏状况指数检测为应用实例,采用该快速方法共检测出沥青路面变形类病害64处,累计有效损坏面积27.12m2,证实了该方法的有效性。The traditional detection method in highway engineering can not identify pavement deformation distress effectively and rapidly. However, this situation is always ignored. The relative height of a pavement section was measured by the vehicle laser sensor, acceleration sensor or prox- imity sensor, and the extreme difference was given to determine whether pavement deformation dis- tress emerged. The damaged area was identified by multiplying the route length of which the extreme difference was over 10 mm and the affected width. A rapid detection method for the pavement deformation distress is put forward based on the principle of laser triangulation. Taking the detection of the pavement condition index (PCI) of the expressway from K0+000 to K2+263 in Jiangxi provi- dence for instance, 64 deformation distresses with a total of 27. 12 m2 were found by this rapid detection method. The result shows that the method is useful and efficient.
关 键 词:路面检测 路面变形 激光三角测距 路面损坏状况指数(PCI)
分 类 号:U416.217[交通运输工程—道路与铁道工程]
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