Title:	High-Fidelity Railway Modelling
DNr:	NAISS 2025/22-1124
Project Type:	NAISS Small Compute
Principal Investigator:	Anita Ullrich <anitaul@chalmers.se>
Affiliation:	Chalmers tekniska högskola
Duration:	2025-09-01 – 2026-09-01
Classification:	10105
Keywords:

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.