Infrastructure Health
Early warning system for bridges
I created and led an innovative project in close cooperation with the National Research Council Canada to bring earth observation and structural engineering to the forefront of ensuring the safety and integrity of bridges. We used high-resolution images that help us see even the tiniest movements or shifts in the structures through an advanced technology called Interferometric Synthetic Aperture Radar (InSAR) and we enhanced this technology by incorporating structural predictions, enabling us to understand how temperature changes affect bridge stability. The significance of our work lies in its power to revolutionise bridge safety and maintenance, by introducing a futuristic and reliable way of monitoring, assessing, and preemptively addressing potential structural issues, ensuring our bridges are safer and more resilient than ever.
Reference: Cusson et al., “Early warning system for the detection of unexpected bridge displacements from radar satellite data”, Journal of Civil Structural Health Monitoring, 2022.
Early warning system for tailings dams
I am supervising a research about the fusion of cutting-edge technologies aimed to revolutionise the monitoring and safety assessment of Tailings Storage Facilities (TSFs) in the mining industry. Utilising Synthetic Aperture Radar Interferometry (InSAR), deep learning, and geotechnical methodologies, this research will output a seamless and comprehensive framework for detecting and analysing anomalous deformations in tailings dams. The integration of these diverse technologies enables the analysis of complex spatial and temporal variabilities in dam deformations with enhanced precision and reliability, encouraging a more robust safety approach, which is crucial for preventing environmental and socio-economic tragedies due to unexpected failures.
Reference: Bayaraa et al., “InSAR and numerical modelling for tailings dam monitoring – the Cadia failure case study”, Geotechnique, 2022.
