Resilient System for a Conditioned Predictive Maintenance of Railway Infrastructure
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Bibliografische Angaben
| Autor(en): |
Gisela Soley
(COMSA S.A.U., Spain)
Miquel Morata Royes (COMSA S.A.U., Spain) Nahuel Manzo (COMSA S.A.U., Spain) Valentí Fontserè (COMSA S.A.U., Spain) Joan Peset (COMSA S.A.U., Spain) |
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| Medium: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019 | ||||
| Veröffentlicht in: | IABSE Symposium Guimarães 2019 | ||||
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| Seite(n): | 1378-1385 | ||||
| Anzahl der Seiten (im PDF): | 8 | ||||
| DOI: | 10.2749/guimaraes.2019.1378 | ||||
| Abstrakt: |
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. |
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