Track maintenance planning and train speed setting are routinely
based somewhat subjectively on track geometry irregularity
inspections. However, the dynamic responses of the wagon and track
system due to track geometry irregularities and wheel rail defects
are critical in ensuring safety and economy.
This project developed, classified and standardised the signatures
of dynamic responses of specific wagon classes on various track
types with geometrical characteristics representative of actual
field conditions. The comprehension of these signatures is a key
issue for railway engineers in optimising track maintenance
strategies, and for rollingstock engineers in making wagon
maintenance decisions from a holistic integrated railway system
perspective.
This project has been completed with the results provided as
‘core knowledge’ on CD as a web-based tree structure
and PFD’s for interpretation by railway personnel.
Results:
- A decision support system (DSS) for track maintenance planning and
train speed setting, based on the combined consideration of track
geometry and wheel irregularities and the resultant dynamic
responses of the wagon and track system.
- The project has been completed; the results are used for the
development of intelligent software system in Project 148.
Project Leader: Associate Professor Manicka Dhanasekar (Central
Queensland University)
Project Manager: Mr Bruce Bymer (Queensland Rail)