REVIVE is structured into eight interrelated work packages across 48 months. Five are research work packages (WP1–5), moving from sensing and data fusion through predictive modelling to sustainable repair and asset-management integration. WP6 carries results into field demonstration and industry deployment, WP7 handles outreach and dissemination, and WP8 covers management and coordination throughout.
| WP | Title | Type | Lead | Duration |
|---|---|---|---|---|
| WP1 | Advancing NDE and SHM for condition evaluation of RC structures | Research | TU Delft | M1–M18 |
| WP2 | Data fusion, digitalisation | Research | Helmut Schmidt University | M6–M24 |
| WP3 | Structural performance assessment and vulnerability analysis | Research | University of Southampton | M12–M30 |
| WP4 | Service life extension using low-carbon and smart materials | Research | Univ. Roma Tor Vergata & Univ. of Bristol | M18–M36 |
| WP5 | Integration with infrastructure asset management for sustainable and resilient RC structures | Research | Univ. of Southampton & ZAG | M24–M42 |
| WP6 | Field demonstration and industry deployment | Demonstration | ZAG | M30–M48 |
| WP7 | Outreach and dissemination | Demonstration | University of Bristol | M12–M48 |
| WP8 | Management and Coordination | Management | University of Southampton | M1–M48 |
Multi-sensor NDE (ground-penetrating radar, ultrasonic and infrared) combined with SHM sensor networks (acoustic emission, fibre optics) to detect defects and evaluate reinforcement condition, validated in the laboratory and on operational bridges and tunnels.
An AI-driven data-fusion backbone that merges heterogeneous sensor data into performance indicators, using explainable AI and Bayesian methods to quantify uncertainty and lay the foundation for predictive digital twins.
Predictive digital-twin models built in OpenSees, combining physics-based structural analysis with real-time monitoring data to quantify vulnerability and forecast residual service life.
Laboratory and field validation of recycled-aggregate concretes, geopolymers and hybrid FRP-geopolymer retrofitting systems, targeting measurable gains in durability and lower embodied carbon.
Interoperable digital twins and multi-criteria decision tools that integrate inspection, monitoring and retrofitting data into asset-management frameworks aligned with Eurocode and ISO standards.
Field deployment of REVIVE's solutions on real bridges and tunnels, with at least twelve months of in-situ monitoring, industry training workshops and commercialisation roadmaps.
The project's dissemination strategy — scientific publication, public outreach and communication activities that carry REVIVE's results beyond the consortium.
Strategic coordination, financial administration and risk management across the consortium, led by the project coordinator.
Non-Destructive Evaluation and Service Life Extension of Vulnerable Reinforced Concrete Infrastructure.
University of Southampton
United Kingdom