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On-Board Monitoring of In-Service Trains for the Structural Health Monitoring of...

On-Board Monitoring of In-Service Trains for the Structural Health Monitoring of Railway Bridges Railway systems are expanding rapidly worldwide as a 'green' means of transportation. Such rapid expansion poses a challenge to guaranteeing safety and ensuring the quality of railway systems. Continuous monitoring of tracks and r... ver más

28/02/2027

POLIMI

297K€

Presupuesto del proyecto: 297K€

Líder del proyecto

POLITECNICO DI MILANO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

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Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-05-11

HORIZON-MSCA-2022-PF-01-01: MSCA Postdoctoral Fellowships 2022 ExpectedOutcome:

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2 Participantes

POLIMI

297.16K€ | Lider

ETH Zürich

N.D. | Participante

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Duración del proyecto: 45 meses Fecha Inicio: 2023-05-11
Fecha Fin: 2027-02-28

Líder del proyecto

POLITECNICO DI MILANO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 297K€

Descripción del proyecto Railway systems are expanding rapidly worldwide as a 'green' means of transportation. Such rapid expansion poses a challenge to guaranteeing safety and ensuring the quality of railway systems. Continuous monitoring of tracks and rail bridges can help diagnose and prognose damage timely, increasing railway transportation reliability. In this project, we focus on rail bridges, whose condition assessment traditionally relies on a static network of sensors. Although well-established, this technique lacks portability, entails considerable cost and effort, and, crucially, inhibits continuous monitoring, as the lifespan of sensors is generally smaller than that of the bridge. To tackle these limitations, indirect monitoring practices have recently gained attraction. Such methods extract the dynamic properties of bridges via measurements from traversing vehicles by exploiting the Vehicle-Bridge Interaction (VBI) principle. This way they offer mobility and lower installation and maintenance costs. However, the majority of studies on indirect monitoring of bridges focus on highways. Despite the similarities of VBI modelling between highways and railways, distinct differences (e.g., vehicle and contact models, moving speed, loading patterns) do not allow the direct application of current indirect monitoring methods to railway bridges. Another challenge is the blurring effect of surface roughness, which, simplistically, is typically considered as known or is eliminated. To this end, this project proposes a consistent methodology to continuously monitor railway bridges via On-Board Monitoring of in-service trains, with a simultaneous characterization of the involved roughness profiles. Accordingly, it proposes a hybrid modelling procedure that considers a VBI model (which represents actual train-bridge systems and considers the roughness of the involved track system) fused with vibration measurements collected from traversing trains.

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