Raveling

Raveling is a surface distress that is characterised by the wearing away of the pavement surface as a result of the loss of aggregate materials and binder. Raveling can range from a subtle loss of fines, to the loss of some larger pieces of aggregate, to a significant loss of a large amount of aggregate resulting in a very rough and pitted surface. Raveling is often associated with pavement mixture-related deficiencies, and, if left unchecked, can require complete resurfacing.

The detection and quantification of raveling by traditional methods (visual assessment) is noted for being subjective and inconsistent. PavemetricsTM Laser Crack Measurement System (LCMSTM-2) solves this problem by automatically detecting and objectively assessing the severity of raveling through 3D laser.

The raveling module analyzes the 3D surface of the road in order to detect and quantify the quantity of lost aggregate for each road section. An objective and repeatable Raveling Index is calculated which can be used to track the progression of raveling on a repeat basis.

Raveling index, affected percent of road section and location are reported in XML. A variety of image outputs are also available which denote the presence of raveling according to three levels of raveling index severity.

AASHTO

PP68; Can collect images of pavement surfaces

ASTM

D5340; Can be used for airport condition index surveys
D6433; Can be used for Roads and parking lot pavement condition index surveys

FHWA

Distress Indentification Manual for the Long-Term Pavement Performance Program (Raveling)

Related Articles

Automated Raveling Inspection and Maintenance Planning on Porous Asphalt in the Netherlands
Authors : Willem van Aalst (TNO), Giljam Derksen, Peter-Paul Schackmann, Petra Paffen (RWS), Frank Bouman, Wim van Ooijen

Development of an Asphalt Pavement Raveling Detection Algorithm Using Emerging 3D Laser Technology and Macrotexture Analysis
Authors: Yichang James Tsai and Zhaohua Wang (Georgia Institute of Technology)

Using Full Lane 3D Road Texture Data for the Automated Detection of Sealed Cracks, Bleeding and Raveling
Authors: John Laurent, Jean-François Hébert and Mario Talbot (Pavemetrics)