From Data to Decisions: Guideline for Effective Concrete Bridge Deck Evaluation Using Ground Penetrating Radar
This project directly supports BBT’s objective to maximize the effective use of existing structures. By developing advanced machine learning algorithms to process ground-penetrating radar (GPR) data, the project enhances the precision of condition assessments, allowing for better planning of maintenance activities. This, in turn, reduces unnecessary interventions, prolongs the lifespan of bridge decks, and minimizes traffic disruptions during inspections. Additionally, the use of non-destructive methods aligns with BBT’s focus on sustainable infrastructure management by reducing the environmental and financial costs associated with traditional, more invasive techniques. The project also contributes to digitalizing inspection processes, enabling data-driven decision-making for future bridge maintenance strategies.
Project title: From Data to Decisions: Guideline for Effective Concrete Bridge Deck Evaluation Using Ground Penetrating Radar
Project leader:
Imane Bayane
, Division of Structural engineering and bridges, KTH
Participating universities/companies/other organisations: Företaget Salbo.ai
Funding: Trafikverket
Project period: 2025-09-01 - 2028-02-29
Aim: Being able to detect and quantify critical indicators of concrete bridge deck deterioration, for instance possible damaged concrete, chlorides under the waterproofing, moisture infiltration, and defects such as cracks or blisters in the waterproofing layer.
The project’s objectives, as illustrated in Figure 1, are as follows:
- Establish Reliable GPR Data Processing Techniques
- Develop Adaptive Machine Learning Models to Process GPR Data
- Conduct an Experimental Validation Campaign
- Formulate a Guideline Proposal for Bridge Management
