Capturing Surface Defects (Oxidation, Weathering, and Raveling) on Bituminous Concrete Pavement Surfaces using Automated Pavement Data Collection.
Defects, including Oxidation, Weathering, and Raveling on Bituminous Concrete
Pavement is a critical distress in the determination of pavement
deterioration. It is a leading indicator
of future pavement deterioration and by extension, the maintenance and
preservation treatments needed to address the issue. The early identification and preventive
maintenance of the surface has a direct relationship to the life expectancy and
life extension of bituminous concrete pavement.
For that reason, many agencies rely on some type of surface defect
distress to trigger preservation treatments in their pavement management
systems. However, automated pavement
data collection technologies struggle to properly identify Surface Defects. Common issues with identifying the distress
from the color of the surface the severity of oxidation (i.e. lightening or
graying of the surface).
polished aggregate or stripped asphalt cement from the aggregate on the
the difference between open grade mixes and raveled surfaces.
if a bituminous pavement has received a surface coat such as chip seal,
microsurfacing, slurry seal, etc.
any severity of the above distresses is problematic as definitions in most
protocols are highly subjective.
data collection vendors feel that Raveling is the most promising from the three
distresses mentioned, and many are currently testing beta versions of their
algorithms to identify this distress.
However, in order for pavement management systems to make effective
maintenance, preservation, and rehabilitation recommendations on bituminous
concrete pavements, identifying Surface Defects to include oxidation,
weathering, and raveling, is extremely important. Agencies that have adopted automated pavement
data collection technologies must know the limitations that exist in
identifying this distress.
1) Determine the state of the practice among agencies to
determine which states track this distress specifically.
2) Determine from the agencies that do track this
distress, what is the practice of identifying this distress, either by manual
or automated methods.
the technical capabilities, both equipment and processing algorithms, of data
collection vendors to identify Surface Defects and the current trends in
improving the tools to do so.
processes and/or tools that an agency can adopt to ensure the accurate
collection of Surface Defects.
5) Make recommendations for alternatives that could be
used in lieu of Surface Defects to trigger maintenance and preservation
treatments for bituminous concrete pavements from a pavement management system.
following are the potential benefits of this study:
- Agencies can begin to
target maintenance, preservation, and rehabilitation treatment
recommendations from their pavement management systems.
identification of this distress is critical to the longevity of bituminous
collection vendors can begin to adopt automated methods of collecting this
distress instead of relying on manual identification; this will result in
faster return of data to the agency.
number of State DOTs collect Surface Defects of some type according to various
data collection manuals found online. FHWA
has provided the Distress Identification Manual for The LTPP that also provides
a definition of these distressesi.
Detecting Raveling using automated data collection tools can be found in
the literatureii. This
research study will focus on ways to improve the automated pavement data
collection capabilities to properly identify these distresses.
John S., Bellinger, William Y., FHWA-RD-03-031, “Distress Identification Manual
for the Long-Term Pavement Performance Program (Fourth Revised Edition)”, June
ii Tsai, Y., Wang, Z., NCHRP
IDEA Project 163, “Development of an Asphalt Pavement Raveling Detection Algorithm
Using Emerging 3D Laser Technology and Macrotexture Analysis”, December 2015.
research will include the following tasks:
- Conduct a literature
review of state of the practice in State DOTs collecting Surface Defects.2. Conduct a literature
review of the technical capabilities, both equipment and processing
algorithms, of data collection vendors to identify Surface Defects.
- Develop processes and/or
tools that an agency can adopt to ensure the accurate collection of Surface
recommendations for alternatives that could be used in lieu of Surface
Defects to trigger maintenance and preservation treatments for bituminous
concrete pavements from a pavement management system.
- Identify Future Research
The resulting processes and/or recommendations from this effort will be incorporated into existing pavement assessment protocols.
Asset Management, Maintenance, Planning
|Sponsoring Committee:||AKP10, Pavement Condition Evaluation
|Research Period:||12 - 24 months|
|RNS Developer:||Aaron Gerber|
|Source Info:||Committee members, State Agencies, Conferences|
|Index Terms:||Surface course (Pavements), Surface course irregularities, Asphalt concrete pavements, Automatic data collection systems, Pavement management systems, Pavement distress, Oxidation, Weathering, Stripping (Pavements), |
Data and Information Technology
Maintenance and Preservation