Grants and Contributions:
Title:
AI for rail infrastructure thermal stress condition assessment
Agreement Number:
948096
Agreement Value:
$285,449.00
Agreement Date:
Apr 17, 2020 - Mar 31, 2024
Description:
In Canada, thermal stress buildup due to climatic changes can lead to failure of rail structures. Currently, there are no techniques available to continuously monitor the stress state in a rail over long distances. Distributed fibre optic sensing is a promising solution. Due to the extent of rail track infrastructure in Canada (45,000 km), the method of sensor install must be automated. In addition, to manage the immense volumes of measurement data as well as implement predicative analytical strategies, artificial intelligence (AI) approaches are the essential. The proposed research will address these needs through a combination of lab and field research, including the development of AI-based methods, to account for temperature and detect critical rail stresses, and a robotic fibre installation prototype. The project outcome will be a prototype digital twin that can eventually be used by industry collaborators for use in the maintenance and management of their rail networks.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Kingston, Ontario, CA K7L 3N6
Reference Number:
172-2020-2021-Q1-948096
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
107868705
Recipient Type:
Academia
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreement has been modified by 365 days.
Amendment Date
Mar 10, 2022
Recipient's Legal Name:
Queen's University at Kingston
Federal Riding Name:
Kingston and the Islands
Federal Riding Number:
35044
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710
Amendments: