A reliability assessment of railway track buckling during an extreme heatwave

Last updated on 15 August 2014 4:25
This paper presents a reliability assessment of railway track buckling during extreme heatwave events. Monte Carlo simulation is used to estimate the probability of track buckling. The effects of important predictor parameters such as the effective buckling length and buckling modes of the rails, as well as the rail temperatures...
Author(s): Nguyen, MN;Wang X;Wang C
2012
Australia
Log in or register to continue
Register for free individual access
  • Unlock research, articles and more
  • Get updates on RSSB’s activities