Field Data based Predictive Maintenance and Enhanced Track Design Procedure

Project Member(s): Abolhasan, M., Indraratna, B., Qi, Y.

Funding or Partner Organisation: Australian Research Council (ARC Linkage Projects)
Australian Research Council (ARC Linkage Projects)
SMEC Australia Pty Ltd
SMEC Australia Pty Ltd
Rail Corporation New South Wales (Sydney Trains)
Rail Corporation New South Wales (Sydney Trains)
Bentley Systems Pty. Limited (Bentley Systems Pty Ltd)
Bentley Systems Pty. Limited (Bentley Systems Pty Ltd)
Bestech Australia Pty Ltd
Bestech Australia Pty Ltd

Start year: 2021

Summary: Providing improved railroad design and maintenance solutions with accurate and timely assessment of track performance is vital to reduce the disruption of services, excessive maintenance costs and degradation over time. This project aims to develop a predictive maintenance model based on extensive wayside measurements to monitor and predict the nature of track instability. This will also be supplemented by mathematical modelling to corroborate large-scale laboratory observations with past and real-time field monitoring records. This project will deliver tangible strategies and tools to increase track longevity and assist decision-makers in planning and prioritising corrective maintenance to ensure improved safety and passenger comfort.

FOR Codes: Rail Infrastructure and Networks, Information Processing Services (incl. Data Entry and Capture), Civil Geotechnical Engineering, Civil geotechnical engineering , Heavy rail infrastructure and networks, Urban rail infrastructure and networks (incl. light and metro rail), Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.