Fatigue crack growth, and especially rolling contact fatigue (RCF) crack growth, is the major deterioration factor and one of the foremost cost drivers in railway operations. Therefore extensive research and development efforts have been put into combating and predicting RCF. How different operational factors affect RCF initiation is yet to a large extent known. Also quantification of the magnitude of the influence of different parameters is insufficient. The overall risk of RCF initiation can to a large extent be predicted but predictions of the time to initiation and failure is, however, afflicted with large uncertainties. In particular, there are large uncertainties in the prediction of crack growth in terms of direction of the growth and the rate of propagation.
The aim of the present project MU38 is to investigate and develop methods to predict crack progression in railway wheels and rails. This includes detailed analyses as well as coarser engineering approaches. Here results from detailed (finite element) analyses can be compared to coarser engineering predictions and increase their quantitative capabilities. Operational data from wheel damage progression and from track demonstrators in Shift2Rail will be employed to further enhance/calibrate/validate numerical analyses.
This is a doctoral project. Mr Mohammad Salahi Nezhad is the doctoral student and Professor Fredrik Larsson the project leader and supervisor. Professors Elena Kabo and Anders Ekberg are assistant supervisors.
Professor vid Chalmers, Industrial and Materials Science, Material and Computational Mechanics
Professor vid Chalmers, Mechanics and Maritime Sciences, Dynamics
Forskningsprofessor vid Chalmers, Mechanics and Maritime Sciences, Dynamics
vid Chalmers, Industrial and Materials Science, Material and Computational Mechanics
Funding Chalmers participation during 2019–2024
Areas of Advance
Areas of Advance