DARe team members played a prominent role at the AUM 2026 symposium, through sponsorship, session leadership, and presenting different aspects of the Hub's research, showcasing the breadth of expertise across the team.
On 3 June, the UN celebrates World Bicycle Day, marking the impact the humble bicycle has had on society globally. To mark the occasion, we asked some of the keen cyclists in the DARe team for their thoughts on the barriers and opportunities in encouraging more active travel in the UK.
This work demonstrates how agent-based models can simulate transport disruptions by capturing highly detailed, individual-level travel behaviours, enabling faster and more accurate forecasting to support improved emergency planning, infrastructure resilience, and transit management decisions.
DARe brought together a diverse group of Cambridgeshire-based stakeholders to share their insights and collaboratively identify and map critical and vulnerable transport network routes and points.
In this paper the authors introduce a machine learning alternative to computationally intensive optimisation in shell form-finding, enabling efficient design under both vertical and horizontal loads, with significantly reduced computation time.
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.
This library contains point cloud geometric data for 16 ageing masonry arch bridges and viaducts in the UK, obtained using FARO Focus 3D laser scanners.
This 'ArchImageLib' dataset contains image data for 13 masonry arch railway bridges and viaducts in the UK, a valuable resource for the training and validation of algorithms for automated inspection and damage classification.
This paper presents an enhanced method, grounded in membrane equilibrium analysis (MEA) and the static theorem of limit analysis, to address a key gap in conventional analysis methods for compression-only shells and vaults.
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