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

Descripción del proyecto

Por el buen camino hacia la ingeniería y la seguridad ferroviarias

Ante la crisis climática, la Unión Europea insta a un cambio hacia viajes en tren respetuosos con el medio ambiente. Sin embargo, el funcionamiento continuo y de alta frecuencia de los trenes, a intervalos de dos o tres minutos, plantea un reto importante. Además, las iniciativas por supervisar la infraestructura ferroviaria sin interrumpir las operaciones han resultado difíciles, lo cual reduce la probabilidad de detectar fallos a tiempo. Con el apoyo de las acciones Marie Skłodowska-Curie, el equipo del proyecto DETECT4WE pretende revolucionar la seguridad ferroviaria mediante la supervisión en tiempo real con sensores inteligentes. En concreto, ofrecerá una solución rentable y eficaz para garantizar la longevidad y seguridad del material ferroviario. Esta innovación no solo promete una instrumentación rentable, sino que también facilita el uso compartido de sistemas informáticos de análisis, lo cual beneficia a los fabricantes de vehículos.

Objetivo

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.

Ámbito científico (EuroSciVoc)

Palabras clave

Programa(s)

Tema(s)

Régimen de financiación

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Convocatoria de propuestas

(se abrirá en una nueva ventana) HORIZON-MSCA-2022-PF-01

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Coordinador

UNIVERSIDAD DE SEVILLA
Aportación neta de la UEn
€ 206 641,20
Coste total
Sin datos

Socios (2)