Event Title
Instrumented Trains as a Probe for Structural Health Monitoring of Railway Infrastructure
Location
Cork Institute of Technology, Cork, Ireland
Event Website
https://event.ceri2020.exordo.com/
Start Date
28-8-2020 10:30 AM
End Date
28-8-2020 11:45 AM
Description
Railway infrastructure throughout the world is degrading and the Structural Health Monitoring (SHM) of this infrastructure can be effective. As a part of INTERREG project SIRMA, it is being investigated in instrumented trains can be used as a moving sensor for SHM of bridges and rail lines. Off-the-shelf calibrated sensors will be connected to trains and the instrumentation regime will be decided based on each SHM need. Output-only algorithms for anomaly detection and system identification will be implemented. Damage Sensitive Features (DSF) will be investigated to assess the best markers for the proposed SHM. A combined set of instrumentation and algorithms will be developed and assessed for their use using numerical and small-scale experimental results - along with potential use in Irish rail network.
Recommended Citation
Pakrashi, Vikram; McGeown, Claire; Chawla, Rohit; Hester, David; Micu, Alexandra; and O'Brien, Eugene, "Instrumented Trains as a Probe for Structural Health Monitoring of Railway Infrastructure" (2020). Civil Engineering Research in Ireland 2020. 4.
https://sword.cit.ie/ceri/2020/10/4
Included in
Civil Engineering Commons, Construction Engineering and Management Commons, Environmental Engineering Commons, Geotechnical Engineering Commons, Hydraulic Engineering Commons, Structural Engineering Commons, Transportation Engineering Commons
Instrumented Trains as a Probe for Structural Health Monitoring of Railway Infrastructure
Cork Institute of Technology, Cork, Ireland
Railway infrastructure throughout the world is degrading and the Structural Health Monitoring (SHM) of this infrastructure can be effective. As a part of INTERREG project SIRMA, it is being investigated in instrumented trains can be used as a moving sensor for SHM of bridges and rail lines. Off-the-shelf calibrated sensors will be connected to trains and the instrumentation regime will be decided based on each SHM need. Output-only algorithms for anomaly detection and system identification will be implemented. Damage Sensitive Features (DSF) will be investigated to assess the best markers for the proposed SHM. A combined set of instrumentation and algorithms will be developed and assessed for their use using numerical and small-scale experimental results - along with potential use in Irish rail network.
https://sword.cit.ie/ceri/2020/10/4
