High-Fidelity Railway Modelling
Dnr:
NAISS 2025/22-1124
Type:
NAISS Small Compute
Principal Investigator:
Anita Ullrich
Affiliation:
Chalmers tekniska högskola
Start Date:
2025-09-01
End Date:
2026-09-01
Primary Classification:
10105: Computational Mathematics
Webpage:
Allocation
- Mimer at C3SE: 500 GiB
- Centre Storage at NSC: 500 GiB
- Alvis at C3SE: 250 GPU-h/month
- Tetralith at NSC: 20 x 1000 core-h/month
Abstract
PhD project about High-fidelity modelling of railway infrastructure with DEM-FEM. Here we investigate the effects of dynamic loads on the ballast layer in railway tracks specifically at transition zones. One work package of the project includes the investigation of reduced-order modelling, where AI techniques will be trained based on simulation data to research real-time solutions.