What we do — capabilities
We use our high-speed vehicle-based ground penetrating radar system in combination with FWD and other NDT methods to detect:
• pavement layer thicknesses
• changes in pavement structure, defining base material type
• subsurface voids and moisture
• relative density of new HMA pavements
The GPR data is collected according to ASTM 4748-10, and synchronized with both linear distance and GPS coordinates for location referencing.
What you get — deliverables
Following data collection, an analysis is carried out using our proprietary software, which utilizes methodologies developed through research, and supported with over 29 years of experience. The final results can be provided in formats including:
• cross-section plots of the pavement structure showing depth of all layers
• tabular results showing layer thicknesses at FWD test locations (synced with GPS)
• quantities and maps of areas with subsurface voiding or relatively high moisture levels
• geospatial plots and geodatabase layers (i.e. ArcGIS)
• plan-view contour plots of pavement thickness or relative density
What we’ve done — projects
Substructure Database for Idaho Districts 4 and 6
Infrasense developed a roadway structure database for Districts 4 and 6 to assist future planning efforts. The final deliverable was a pavement structure geodatabase built in ArcGIS, and included GPR, FWD, TSD, and core data with calculated structural number and remaining life of different pavement sections.
24 Regional Airports in South Carolina
We provided pavement layer thickness information to facilitate FWD back-calculation efforts, and ultimately the determination of Pavement Classification Numbers (PCNs) for all airport pavement facilities (runways, taxiways, aprons). Additionally, we provided the location of any detected voids and utilities.
4000+ Miles of County Roads in North Dakota
Infrasense provided pavement layer thickness values at FWD test locations for over 4000 lane-miles of county and local roads across North Dakota. This subsurface pavement information was part of a larger statewide study carried out by NDSU’s Upper Great Plains Transportation Institute to assess infrastructure needs related to agriculture and oil shale development. Learn more…
Composite Pavement Structure and Condition Mapped in Connecticut
We used a vehicle-based GPR system to scan a 2.8-mile section of pavement in East Hartford in order to locate changes in the pavement structure. Additionally, GPR was used to identify areas of deterioration in the underlying PCC pavement layer. Falling Weight Deflectometer (FWD) testing was performed to assess load transfer efficiency at targeted slab joints. Learn more...
Density of New HMA Pavement Mapped in FL, MN, CA, ME, NH, and WS
Infrasense used GPR to map of the relative density of new HMA pavements. This relatively new application is being utilized as a quality assurance measure to compliment recently developed quality control systems, such as Intelligent Compaction. Learn more…
Pavement Structure Type Defined along the Cleveland Memorial Shoreway
We used high-speed GPR to map changes in the pavement structure along the Cleveland Memorial Shoreway. The results were presented geospatially with different color line segments corresponding to different pavement structure classifications. Learn more…