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Resilient System for a Conditioned Predictive Maintenance of Railway Infrastructure

 Resilient System for a Conditioned Predictive Maintenance of Railway Infrastructure
Auteur(s): , , , ,
Présenté pendant IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019, publié dans , pp. 1378-1385
DOI: 10.2749/guimaraes.2019.1378
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RESILTRACK, “Smart and Resilient System for a Conditioned Predictive Maintenance of Railway Infrastructure”, is a 4-year project co-funded by the Centre for the Development of Industrial Technology...
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Détails bibliographiques

Auteur(s): (COMSA S.A.U., Spain)
(COMSA S.A.U., Spain)
(COMSA S.A.U., Spain)
(COMSA S.A.U., Spain)
(COMSA S.A.U., Spain)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019
Publié dans:
Page(s): 1378-1385 Nombre total de pages (du PDF): 8
Page(s): 1378-1385
Nombre total de pages (du PDF): 8
DOI: 10.2749/guimaraes.2019.1378
Abstrait:

RESILTRACK, “Smart and Resilient System for a Conditioned Predictive Maintenance of Railway Infrastructure”, is a 4-year project co-funded by the Centre for the Development of Industrial Technology (CDTI) in Spain. RESILTRACK brings together 6 Spanish partners (COMSA, Retevisión, Telice, Cemosa, Magtel and Estudios GIS) and 4 research and technological institutions (CIMNE, Tecnalia, Leitat and University of Málaga) to work on the design of a system which provides real time information of the infrastructure state and how it is affected by climatic effects. Data will be obtained by a robust, integral and autonomous monitoring of the railway infrastructure, and it will be analyzed by predictive simulations through DEM-FEM models. Finally, the concepts will be integrated through a BIM tool to facilitate decision making.