Horizon Europe · Marie Skłodowska-Curie Actions

M-Twin4US

Maintenance-oriented Digital Twin for Underground Infrastructure

About the Project

Underground utilities and tunnels are critical to modern cities, yet their condition is largely hidden from view. Maintenance decisions are often made with sparse, indirect and uncertain information about what lies beneath the surface.

M-Twin4US is a Marie Skłodowska-Curie Postdoctoral Fellowship developing a maintenance-oriented digital twin framework (M-Twin) for buried infrastructure. The project combines non-destructive sensing methods such as ground-penetrating radar (GPR), AI-assisted diagnosis, multi-physics simulation and uncertainty quantification to turn subsurface measurements into decision-ready information for the maintenance of underground utilities.

M-Twin4US framework: physical tests feed a real-time digital model via scan-to-BIM and BIM-to-analysis, which supports predictive analysis of soil-structure interaction and virtual sensing via multi-physics simulations, all informing diagnostics and predictions.
The M-Twin4US framework: physical testing and non-destructive sensing feed a digital twin and predictive analysis for AI-aided diagnostics of underground infrastructure.

Research Approach

1

GPR Sensing & Simulation

Ground-penetrating radar as the non-destructive sensing layer of the twin, supported by physics-based and surrogate GPR simulation.

2

Uncertainty-aware data interpretation & UQ

Inferring subsurface conditions from sensing data while quantifying how certain—or uncertain—those estimates are.

3

Maintenance Decisions

Linking the digital twin to maintenance-oriented decision-making for underground utilities and tunnels.

Contact

For questions or collaboration enquiries about M-Twin4US, connect with the fellow on LinkedIn.

Flag of the European Union Funded by
the European Union

This project has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 101205667.

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.