A physics based framework to predict ballast degradation
Proposing a physics based framework to predict ballast degradation.
Ballast layer has an important role in transmission of stress from train passage on the rail to the formation and its rate of degradation affects the derailment risk which is controlled with maintenance of the track. This degradation is a function of parameters such as properties of the ballast particles, weather condition, sub ballast, subgrade and sub soil condition, loading condition which is a function of speed of the train and the axle load and some other parameters. Both the data driven methods and physics based methods used for prediction of ballast degradation. In this project physics based method selected to simulate ballast degradation.
Finite element method has been widely used to model the ballast domain, but with improves in the computational power, discrete element method is becoming more popular. Ballast is a granular domain and with DEM we can monitor micro-dynamics of the particles and non-homogeneous domain properties such as stiffness, strain and damping ratio.
Sponsor: Trafikverket/JVTC
Researchers: Elahe Talebiahooie (PhD candidate), Matti Rantatalo (PL)
Duration: 2017-2022
Contact
Matti Rantatalo
- Professor
- 0920-492124
- matti.rantatalo@ltu.se
- Matti Rantatalo
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