The purpose of the survey was to map all of the subsurface infrastructure and allow the architects and designers to effectively plan the layout of the property utilizing our as-built drawings.
This process would allow them to create drawings with zero conflicts, avoiding redesign costs and project delays.
A Vancouver restaurant was starting the construction process and wanted to create a sustained link between the design and construction phases of their project in order to mitigate risk and improve the speed and safety of the process.
Our trained Xradar™ technician carried out a concrete scan of the site using our Xradar™ Enhanced Concrete Scanning System. We then carried out a Pre-Design Scan of the site using 3D laser scanning to map the area.
Utilizing the data from the concrete scan and the pre-design survey, our technician provided a report of the findings in the form of an as-built drawing, overlaying the subsurface infrastructure. We also provided a 3D virtual walkthrough to allow the designers and engineers to explore the site remotely and make accurate, informed decisions without the need for a site visit.
Xradar used a high frequency GPR survey to achieve the required accuracy and a mid-range frequency GPR to reveal information about the structural details underpinning the area. Several grids with evenly spaced lines were laid out resulting an approximately 350 sqm of total coverage.
The Xradar systems used were carefully calibrated onsite to ensure accurate depth measurements. Data was processed and compiled to produce contoured heatmap style results. Results were presented in a CAD workspace and digital reports delivered.
The Xradar survey was complimented with Vuit 3D laser scanning to achieve accurate, scaled georeferencing of our survey grids, and a convenient way to view and present the asphalt thickness results.
The survey revealed a distinct change in the asphalt thickness due to the structural change to the subsurface that was confirmed with the survey results from the mid-range frequency GPR. The data uncovered not only the asphalt thickness but also the nature and location of the subsurface features such as: beams, voids and structural slab changes.