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

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.

[1]  Linda M Pierce,et al.  Evaluation of Construction Practices That Influence the Bond Strength at the Interface between Pavement Layers , 2008 .

[2]  Kelvin C. P. Wang,et al.  Automated runway groove measurement and evaluation , 2017 .

[3]  Hai-Rong Gu,et al.  Analysis and Test on Asphalt Milling Machine Cutting Load Characteristic , 2012 .

[4]  Lubinda F. Walubita,et al.  Effects of Layer Interfacial Bonding Conditions on the Mechanistic Responses in Asphalt Pavements , 2011 .

[5]  Zhou Xing-li,et al.  Measurement Method for Mean Texture Depth of Asphalt Pavement Based on Laser Vision , 2014 .

[6]  Wang Shui-yin Influence factors of bond performance between asphalt surface layer and semi-rigid base , 2010 .

[7]  Pedro A. Serigos,et al.  Incorporating Surface Microtexture in the Prediction of Skid Resistance of Flexible Pavements , 2014 .

[8]  Andre de Fortier Smit,et al.  Milled pavement texturing to optimize skid improvements , 2015 .

[9]  Yan Ke-zhen Effect of Bond Condition on Overlay Performance , 2009 .

[10]  K H McGhee,et al.  AUTOMATED PAVEMENT DISTRESS COLLECTION TECHNIQUES , 2004 .

[11]  Chia-Pei Chou,et al.  Automatic measurement of runway grooving construction for pavement skid evaluation , 2009 .

[12]  Yichang Tsai,et al.  Full-Lane Coverage Micromilling Pavement-Surface Quality Control Using Emerging 3D Line Laser Imaging Technology , 2014 .

[13]  Yichang Tsai,et al.  Ridge-to-Valley Depth Measured with Road Profiler to Control Micromilled Pavement Textures for Super-Thin Resurfacing on I-95 , 2012 .