Active Engineering Computing & AI

TwinSSI: Digital Twin Modelling for Soil-Structure-Interaction based on CutFEM and BIM technologies

In plain English

AI plain-English summary

Engineers will build a digital twin of underground construction—a virtual replica that mirrors a real tunnel or foundation in real time, using a new hybrid of cutting-edge simulation and building information modelling. Current design and monitoring of tunnels, foundations, and other buried structures relies on simplified models that cannot capture the complex interactions between soil, water, and structural loads. This forces engineers to over-design for safety, driving up costs and limiting what can be built in challenging ground conditions. The TwinSSI project addresses this gap by combining CutFEM—a computational method that handles complex geometries without simplifying the soil—with BIM platforms that incorporate CAD data. The team will validate the framework using full-scale tunnel-soil experiments at the National Buried Infrastructure Facility, then apply it to real projects with Network Rail and Maidl Tunnel consultants. If successful, the project will give geotechnical engineers a practical tool to predict how underground structures behave over their entire life cycle, from construction through decades of operation. This could reduce over-engineering, lower costs, and improve safety for tunnels, foundations, and buried pipelines—infrastructure that quietly underpins transport, water, and energy networks. The work is applied, not fundamental: it aims to deliver a validated digital twin ready for industry use.

View original technical description
The central requirement of project safety, stability, and resilience of complex underground systems leads to demands for more efficient computational modelling tools to assist design and decision-making during the project life cycle. The concept of Digital Twins (DTs) provides a robust solution to monitor a construction project during its life cycle, predict its behaviour based on integrated holistic computational models, and protect it from hazards by virtually controlling the physical processes with its digital counterpart. Leveraging the power of a computational framework based on CutFEM combined with a BIM platform incorporating CAD-based data, the TwinSSI project will develop a comprehensive DT for underground design and construction. To validate the computational framework, real-scale experiments of tunnel-soil-structure interaction will be performed at the National Buried Infrastructure Facility (NBIF) at UoB. Moreover, the developed DTs will be applied to real case studies co-created with the industrial partners Network Rail and Maidl Tunnel consultants. The TwinSSI project will thus, for the first time, create and validate detailed DTs in the domain of soil-structure interaction modelling. The project outcomes will lead to a new paradigm for project planning and monitoring by geotechnical engineers.

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Researchers

Jelena Ninic (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Maintenance-oriented Digital Twin for Underground Infrastructure with Sensing, Machine Learning, BIM and Simulation
Digital Twins for Resilient Geo-Infrastructure
Digital Underground Construction
BIM2TWIN: Optimal Construction Management & Production Control
Digital Twinning for Temporary Works Enabling Safe and Economic Project Implementation

Original classification

Fellowship

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.