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Underground Construction
We develop new science and technology to inform underground construction operations
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New Sensors and Technology
We leverage the latest advances in optical sensing and AI to develop low cost sensors for the construction industry
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Advanced Modelling
Laboratory modelling and numerical simulations underpin design methods tailored for industry
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Geotechnical Engineering
We are based within the geotechnical research group at Oxford University

Geotechnical Monitoring

Experimental and Numerical Modelling

Field Deployment and Validation
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About Us
- Intelligent underground construction monitoring
- Bayesian machine learning for construction
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Soil-structure interaction
- Construction support fluids
A particular focus of our research has been in the area of soil-structure interaction (SSI) covering development of normal and frictional contact stresses exerted by soil onto structures, soil strength mobilization displacements, pore water pressures and their time dependence. Our research has included the use of numerical modelling, laboratory testing at model scale, and field testing/monitoring.
Monitoring the construction of a large-diameter caisson in sand
Undrained bearing capacity of the cutting face of large-diameter caissons
Assessment of Anomaly Detection Methods Applied to Microtunneling
Machine Learning to Inform Tunnelling Operations: Recent Advances and Future Trends
Three-Dimensional Analyses of Excavation Support System for the Stata Center Basement on the MIT Campus
Identifying characteristics of pipejacking parameters to assess geological conditions using optimisation algorithm-based support vector machines

Dr. Brian Sheil

Dr. Zhandos Orazalin

Dr. Geyang Song

Jack Templeman

Bryn Phillips

Maral Bayaraa

Yixiong Jing

Alex Swallow

Daniel McNamara

Kevin O’Dwyer

Jiaxu Zuo

Yuling Max Chen

Pete Hensman

Pin Zhang
