Regular inspection for condition assessment and monitoring of concrete bridge decks is of paramount importance for predictive maintenance of these infrastructures. Deterioration of steel-reinforced concrete structures is complex and can be caused by the corrosion of embedded reinforcement, decomposition of concrete, or both. Among other technologies, GPR has been increasingly used for monitoring the deterioration at the top layer of reinforcing.
GPR Insights uses AI to automatically detect top reinforcing steel in concrete GPR data sets. The Analytics menu provides a straightforward workflow to generate qualitative maps of top steel from the AI-detected points:
Figures show correlation between an area of the bridge deck showing potential deterioration (red color) on areas with weaker amplitude responses and its correlation with surface defects (cracks)
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For the last three decades GPR has been increasingly used as part of an arsenal of tools to map buried utilities. Although the latest multichannel GPR (MCGPR) systems provide very high-resolution images in real-time, different workflows and methodologies are still applied. Software can play a big role in boosting digital mapping and making it scalable. Therefore, GPR measurements are often post-processed and analysed for the presence of utility like features which are then interpreted and exported to maps.
GPR Insights has been designed to streamline this process providing:
These capabilities make GPR Insights the fastest and most effective software for utility mapping allowing you to cover thousands of square meters in a single day.