SUPR
UTMOST
Dnr:

NAISS 2025/23-462

Type:

NAISS Small Storage

Principal Investigator:

Martin Fagerström

Affiliation:

Chalmers tekniska högskola

Start Date:

2025-08-20

End Date:

2025-11-01

Primary Classification:

20301: Applied Mechanics

Webpage:

Allocation

Abstract

The project is about trying to characterise a natural fibre composite. The microstructure is random, therefore the characterisation is done with machince learning. In order to train a machine learning model, A high number of REpresentative Volume Elements (RVEs) are created, which can be used to predict the material behaviour.