Description du projet
En bonne voie pour faire progresser l’ingénierie et la sécurité ferroviaires
Face à la crise climatique, l’Union européenne préconise une évolution vers des voyages en train plus respectueux de l’environnement. Cependant, l’exploitation continue et à haute fréquence des trains, à des intervalles de deux ou trois minutes, pose un défi important. En outre, il s’est avéré difficile de contrôler l’infrastructure ferroviaire sans perturber les opérations, ce qui réduit la probabilité de détecter les défaillances à temps. Avec le soutien du programme Actions Marie Skłodowska-Curie, le projet DETECT4WE vise à révolutionner la sécurité ferroviaire par une surveillance en temps réel à l’aide de capteurs intelligents. Plus précisément, il offrira une solution rentable et efficace pour garantir la longévité et la sécurité des équipements ferroviaires. Cette innovation promet non seulement une instrumentation rentable, mais facilite également le partage des systèmes d’analyse informatique, ce qui profite aux constructeurs automobiles.
Objectif
The EU wants to encourage train travel due to the current climate crisis and innovations to the railway system are necessary.
Because trains run around the clock in 2–3-minute intervals, it is difficult to monitor the status or the conditions of a railway equipment efficiently without interrupting railway operation and it only reduces the likelihood of its failure. DETECT4WE will offer a novel solution to help keep infrastructure safe. In this project, the condition of the tracks and the in-service trains are continuously monitored by smart sensors and the collected measurement data and safety analysis of trains are processed in real time. Therefore, a highly detailed forecast is ensured. This approach promises cost savings for vehicle manufacturers because of relatively inexpensive instrumentation techniques and shared computer analysis systems. And because more timely and accurate accident prevention will be available, train travel will become safer, leading to zero fatalities.
The DETECT4WE project will be carried out by the experienced researcher who worked during her PhD thesis on the pure computational analysis of railway vehicle multibody dynamics and wanted to practice her research into applied railway engineering using experimental methods and make connections within railway industry. She will collaborate with Prof. José L. Escalona at University of Seville, Prof. Zili Li at Delft University of Technology. Both supervisors have strong background in computational and experimental dynamics of railway vehicles and tracks. In the end, a final six-months non-academic placement will be carried out at the company ProRail Ltd. under the supervision of Prof. Rolf Dollevoet. The academic and non-academic stay will give her the unique opportunity of modelling, experimentally testing, and validating innovative methods in the field of railway engineering, importantly extending her professional training towards becoming a self-supporting scientist.
Champ scientifique
- engineering and technologymechanical engineeringvehicle engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Mots‑clés
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régime de financement
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinateur
41004 Sevilla
Espagne