SM:ART

Structural Health Monitoring &
Automated Response Treatment

SM:ART uses advanced sensors, AI analytics, and autonomous remediation, to preserve the steel bond of reinforced concrete structures.

By detecting early signs of rebar corrosion and chloride ingress,
SM:ART prevents deterioration, extending the lifespan
of critical structures.

Real-Time Monitoring

Continuous, real-time insights into structural integrity to catch issues before they escalate.

Predictive Analytics

Harness AI-driven analytics to predict maintenance needs and optimize repairs.

Seamless Integration

Easily retrofit existing concrete structures with the SM:ART system.

Sustainable Solutions

Reduce downtime and environmental impact with proactive, eco-friendly maintenance.

The worldwide problem

Global Infrastructure at Risk of Corrosion

Chloride-induced corrosion poses a massive threat to aging bridges worldwide, driving up maintenance costs and endangering public safety. From Ireland’s coastal bridges to structurally deficient spans across the U.S. and Europe, proactive monitoring and timely repairs are essential to safeguard vital infrastructure.

Ireland’s Coasts

330 of 1,500 coastal bridges in Ireland are vulnerable to chloride-induced corrosion, raising safety and maintenance concerns.

US Challenges

46,000 of 617,000 bridges in the US are classified as structurally deficient, costing $8.3B annually in repairs.

Europe’s Crisis

Over 1 million bridges across Europe face urgent deterioration, with potential replacement costs estimated at €400B.

Aging Asia

In Japan, 170,000 of 730,000 bridges are over 50 years old, while South Korea contends with corrosion on 30,000 aging spans.

The SM:ART Solution

SM:ART aims to completely eliminate reactive deterioration costs, by shifting practices towards proactive monitoring, detecting early deterioration before damage is visible. This reduces costs, downtime, and enhances safety.

Advanced Sensors

State-of-the-art sensors retrofitted in structures continuously monitor key parameters like chloride levels, moisture, and temperature—detecting early signs of deterioration.

AI Predictive Insights

Our machine learning platform processes sensor data in real time to predict maintenance needs and spot trends, empowering proactive, data-driven decision-making.

Autonomous Repairs

Integrated automated repair systems trigger targeted interventions, ensuring proactive maintenance that minimizes downtime and extends the lifespan of critical infrastructure.

Interested in a Trial?

Contact us now to arrange an early trial of SM:ART

    Proudly Supported By

    Meet Our Team

    Experts in Structural Health Monitoring

    Dr. Sean Bond

    Project Lead

    Claudio Perone

    Senior Software Developer

    Stephen McNulty

    Commercial advisor

    Enterprise Ireland Funded Project

    Enterprise Ireland’s funding has been pivotal in accelerating SM:ART’s development and commercialization. Their support transforms cutting-edge research into practical, market-ready solutions for safer, more resilient infrastructure.

    This work is supported by the Enterprise Ireland Commercialisation Fund Programme through project CF-2024-2427-I.

    TU Dublin

    TU Dublin supports this project by providing expert research, state-of-the-art facilities, and collaborative academic expertise. Their commitment to innovation helps drive the development of groundbreaking solutions for proactive structural health monitoring and sustainable maintenance.