Differential railway track settlement in a transition zone – Field measurements and numerical simulations
Licentiate thesis, 2023
A methodology for the simulation of long-term differential track settlement, the development of voided sleepers leading to a redistribution of rail seat loads, and the evolving irregularity in vertical track geometry at a transition between two track forms, is presented. For a prescribed traffic load, the accumulated settlement is predicted using an iterative approach. It is based on a time-domain model of vertical dynamic vehicle–track interaction to calculate the contact forces between sleepers and ballast in the short term. These are used in an empirical model to determine the long-term settlement of the ballast and subgrade below each sleeper. Gravity loads and state-dependent track conditions are accounted for. The methodology is applied to a transition zone between a ballasted track and a slab track that is subjected to heavy haul traffic. The influence of higher axle loads and the implementation of under sleeper pads on sleeper settlement is assessed.
Based on fibre Bragg grating sensors, a setup for in-situ long-term condition monitoring of track bed degradation in a transition zone has been developed and implemented to provide data for verification and calibration of the simulation model. The system is designed for measurements in an operational railway track in harsh conditions in the north of Sweden. The instrumentation along the transition comprises four clusters, each with an optical strain gauge array on the rail web in one sleeper bay, and an accelerometer and a displacement transducer on the sleeper end. Two additional accelerometers are installed far from the transition zone to measure a reference state. Combined, the data should not only provide details on long-term settlements, but also the change in dynamic response it underpins.
fibre Bragg grating sensors
dynamic vehicle–track interaction
heavy haul traffic
non-linear track model
3MB slab track
Transition zone
empirical settlement model
condition monitoring
Author
Kourosh Nasrollahi
Chalmers, Mechanics and Maritime Sciences (M2), Dynamics
Subject Categories
Mechanical Engineering
Civil Engineering
Infrastructure Engineering
Vehicle Engineering
Other Civil Engineering
Publisher
Chalmers