01 / 03
Physical system
Engineering structures respond to changing forces over time. The starting point is the physical behaviour that needs to be understood.
- Physical systems
- Structural dynamics
Machine learning for physical systems
Research Lab
Developing machine learning approaches for complex physical systems, from structural dynamics and health monitoring to scientific computing.
View research- Structural dynamics
- Scientific machine learning
- Structural health monitoring
- Fluid–structure interaction
Research direction
From physical behaviour to faster engineering insight.
A public, concept-level view of how the Research Lab connects engineering systems, computation, and machine learning.
01 / 03
Physical system
Engineering structures respond to changing forces over time. The starting point is the physical behaviour that needs to be understood.
- Physical systems
- Structural dynamics
02 / 03
Numerical simulation
Numerical models provide a computational view of that response, creating a bridge between engineering questions and repeatable analysis.
- Numerical simulation
- Scientific computing
03 / 03
Surrogate-enabled direction
The longer-term direction connects simulation and machine learning to support faster repeated engineering analysis.
- Machine learning
- Engineering workflows
Research archive
