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Model-based estimation of railroad wheel-to-rail profile change and contact forces

Descrizione del progetto

Sui binari giusti per far progredire l’ingegneria e la sicurezza ferroviaria

Di fronte alla crisi climatica, l’UE incoraggia il passaggio a viaggi in treno ecologici. Tuttavia il funzionamento continuo e ad alta frequenza dei treni a intervalli di 2 o 3 minuti rappresenta una sfida significativa. Inoltre gli sforzi per monitorare l’infrastruttura ferroviaria senza interrompere le operazioni si sono rivelati difficili, riducendo la probabilità di individuare tempestivamente i guasti. Con il sostegno del programma di azioni Marie Skłodowska-Curie, il progetto DETECT4WE mira a rivoluzionare la sicurezza ferroviaria attraverso il monitoraggio in tempo reale con sensori intelligenti. In particolare, offrirà una soluzione economica ed efficiente per garantire la longevità e la sicurezza del materiale ferroviario. L’innovazione non solo promette una strumentazione efficace dal punto di vista dei costi ma facilita anche i sistemi di analisi computerizzata condivisi, a vantaggio dei costruttori di veicoli.

Obiettivo

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.

Coordinatore

UNIVERSIDAD DE SEVILLA
Contribution nette de l'UE
€ 206 641,20
Indirizzo
CALLE S. FERNANDO 4
41004 Sevilla
Spagna

Mostra sulla mappa

Regione
Sur Andalucía Sevilla
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
Nessun dato

Partner (2)