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Construction Practice Classifications

Construction Practice Classifications using GPR

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n many instances, historic construction practice may not be known or documentation readily retrieved. RoadMap GPR creates images and tabulated data which classify changes in construction practice. The example shown here is from an investigation of a section of Hwy. 401 near Toronto, Canada clearly show the unique character of joints in the subsurface concrete slab.

Cross-sectional data from the area, clearly show the unique character of joints in the subsurface concrete slab. The concrete slab is covered by 200 mm of asphalt.

Google Earth™ map showing the location of GPR data
Figure 1
Google Earth™ map showing the location of detailed GPR data

The next example of GPR image shows a short section of the road. This character was observed over several kilometers indicating the uniform road construction practice.

Survey data showing joints in a concrete slab covered by asphalt.
Figure 2
Survey data showing joints in a concrete slab covered by asphalt.

Survey data showing joints in a concrete slab covered by asphalt. Disturbance observed in asphalt above the joints indicates movement of asphalt layer has occurred above joints which lead to cracking and the potential for water inflow.

After correlating the GPR with other data, the abrupt localized changes were confirmed to be joints in the underlying concrete slab. The change in signal character is associated with fine grained material and water retained in the concrete joints.

Slight deformation of the asphalt structure above the joints suggest upward migration of the deformation. These characteristics are clear indicators of slab movement at the joints.

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