Dr Omar Hamza, lead of the DARe Flex Fund project 'Economic Impact of Proactive Adaptation vs Reaction Inaction in UK Rail Infrastructure', has presented findings from the project at two major international transport conferences.
This study examines how railway drainage performance can be better predicted to reduce flooding and infrastructure failure risks, introducing a risk-based approach that classifies assets by the likelihood of deterioration between inspections.
This work uses a fully Bayesian Gaussian process emulator to efficiently predict the time‑dependent factor of safety of geotechnical slopes, enabling faster modelling of deterioration to support improved design, maintenance, and asset management decisions.
Find out more about DARe Flex Fund project CO-GREAT in this interview with Dr Timothy Peacock from the University of Glasgow.
This paper presents novel applications of fibre-optic sensing and videogrammetry to measure and visualise the three-dimensional, dynamic structural response of a skewed masonry arch railway bridge in unprecedented detail.
A leading cause of bridge failure is scour. Mitigating bridge scour is crucial for the longevity and safety of bridges, especially those spanning waterways. In this study the authors introduce a comprehensive framework for scour risk management.
Dr Alistair Ford shares his experience of travelling in a low-carbon way for the annual EGU conference, all the way from London to Vienna by train.
DARe team members and partners hold a panel discussion on how we harness the power of data to guide us towards a net zero future
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