Advances in Condition Monitoring of Railway Infrastructures
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 24941
Special Issue Editors
Interests: railway engineering; condition monitoring (wayside/onboard); damage identification; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: railway infrastructures; dynamic testing; damage identification; remote inspection; data science
Special Issues, Collections and Topics in MDPI journals
Interests: structural dynamics and assessments; railway track monitoring; railway bridge monitoring; machine learning for SHM
Special Issues, Collections and Topics in MDPI journals
Interests: railway induced vibrations; dynamics of railway bridges; moving loads; resonance and cancellation phenomena; dynamic experimental testing; modal identification; model updating; energy harvesting; human induced vibrations; artificial intelligence; control of structures; advanced seismic designrailway induced vibrations; advanced seismic design
Special Issue Information
Dear Colleagues,
In recent years, relevant investments have been made in the construction of new railway lines as well as in the rehabilitation and upgrading of existing lines. Many of these lines include a significant number of critical infrastructures whose operational and safety conditions must be preserved during their life cycle. Recent scientific and technological advances have enabled more efficient structural condition monitoring of railway infrastructures, mainly through the implementation of intelligent strategies for inspection, monitoring, maintenance and risk management. Based on this framework, this Special Issue aims at bringing together the latest research studies, findings and achievements with regard to the condition monitoring of railway infrastructures. Theoretical, experimental and computational investigations (or a combination of these) are welcome. Expected papers will cover several topics related (but not exclusively) to:
- structural integrity;
- structural condition assessment;
- automatic damage detection/identification;
- wayside and onboard monitoring systems;
- weigh-in-motion and bridge weigh-in-motion systems;
- digital twins;
- model calibration and validation;
- novel health monitoring;
- new sensors and technologies (photogrammetry, laser scanning, drones, wireless);
- computer vision techniques;
- non-destructive testing (NDT);
- remote inspection strategies;
- BIM;
- Big Data and Internet of Things;
- artificial intelligence;
- augmented reality and virtual reality;
- disaster risk reduction;
- emergency management;
- intelligent management systems;
- condition assessment under extreme load scenarios/climate changes (wind, seismic, flooding, scour).
Dr. Araliya Mosleh
Dr. Diogo Ribeiro
Dr. Abdollah Malekjafarian
Dr. Maria D. Martínez-Rodrigo
Guest Editor
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