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Quality Assessment of Milling Pavement Surface Using 3D Line Laser Technology

机译:3D线激光技术对铣刨路面质量的评估

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To ensure that a regular milled surface texture provides good bonding without residual distress, a new specification of milling surface assessment has been established for quantitatively evaluating the milled surface quality. This research explores the possibility of using three-dimensional (3D) laser scanning technology to develop an algorithm to obtain a milled surface model that can measure evaluating indicators, milling depth and texture depth, and identify poorly milled areas. A case study was conducted by using a laser scanning vehicular system to collect 3D continuous pavement transverse profiles data in a 500 m long segment of Highway S107. The results show that the proposed method is very promising and can measure the milling depth and texture depth to effectively and quantitatively differentiate between good- (milling depth between 47 mm and 53 mm and texture depth exceeding 2 mm) and poor-quality work. Moreover, the poorly milled areas such as those with residual distress and unmilled areas that will lead to premature failure can also be identified using the proposed method. The proposed method can effectively support remilling work and ensure the quality of the overlay pavement.
机译:为了确保规则的铣削表面纹理能够提供良好的粘结力而不会残留残余应力,已建立了铣削表面评估的新规范,用于定量评估铣削的表面质量。这项研究探索了使用三维(3D)激光扫描技术来开发一种算法的可能性,该算法可以获取可以测量评估指标,铣削深度和纹理深度并识别出铣削不良区域的铣削表面模型。通过使用激光扫描车辆系统进行了案例研究,以收集S107高速公路长500μm的3D连续路面横断面数据。结果表明,所提出的方法非常有前途,可以测量铣削深度和纹理深度,以有效和定量地区分良好(铣削深度在47 mm和53 mm之间,纹理深度超过2 mm)和劣质工件。此外,还可以使用建议的方法来识别铣削较差的区域,例如那些残留应力较大的区域和未铣削的区域,这些区域会导致过早损坏。所提出的方法可以有效地支持补磨工作并确保铺面路面的质量。

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