Infrastructure assets are expected to perform safely and efficiently for decades, often in highly aggressive environments. Yet corrosion remains one of the biggest threats to the long-term durability of reinforced concrete and masonry structures.
Our paper, Predicting service life from site-accessed corrosion rate data, explores how long-term corrosion monitoring can provide a more accurate and practical understanding of structural deterioration, enabling owners and engineers to make better-informed decisions around maintenance, repair and life extension.
The paper draws on more than 20 years of data collected from over 60 structures across the UK and internationally, including bridges, tunnels, marine structures, car parks and historic buildings.
Traditional service life prediction models often rely heavily on assumptions and theoretical deterioration rates. While these models remain valuable, our work demonstrates the benefits of combining them with continuous, real-world monitoring data.
By embedding corrosion rate probes directly within structures, engineers can:
Rather than relying solely on periodic inspections or isolated measurements, this approach creates a continuously evolving picture of structural health.
The paper examines the development and deployment of embedded corrosion monitoring systems installed across a wide range of environments and asset types.
These monitoring systems have been used to assess:
In many cases, probes have collected data remotely over periods spanning many years, enabling engineers to understand how corrosion behaviour changes over time under real environmental conditions.
A key focus of the paper is how corrosion data can be used to develop more meaningful service life predictions.
Rather than assessing a single corrosion rate measurement in isolation, the paper demonstrates how accumulated corrosion penetration data (Pcorr) can be used alongside established service life models, including the Tuutti model, to:
This provides asset owners with a far more practical basis for planning maintenance and investment strategies.
The paper also explores how corrosion monitoring can be used to assess the effectiveness of intervention methods in real time.
Mitigation measures assessed include:
Long-term monitoring demonstrated significant differences in performance between repair strategies, including examples where service life extensions exceeded 50 years when appropriate repair materials were selected.
Ultimately, the paper highlights how embedded corrosion monitoring can support a more proactive and data-driven approach to infrastructure management.
By combining continuous monitoring with established service life modelling, engineers and asset owners can:
As infrastructure networks continue to age, approaches that improve long-term decision-making and reduce lifecycle risk will become increasingly important.
