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Resilient System for a Conditioned Predictive Maintenance of Railway Infrastructure

 Resilient System for a Conditioned Predictive Maintenance of Railway Infrastructure
Author(s): , , , ,
Presented at IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019, published in , 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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Bibliographic Details

Author(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)
Medium: conference paper
Language(s): English
Conference: IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019
Published in:
Page(s): 1378-1385 Total no. of pages: 8
Page(s): 1378-1385
Total no. of pages: 8
DOI: 10.2749/guimaraes.2019.1378
Abstract:

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.

Keywords:
structural health monitoring Railway maintenance inspection techniques adaptation to climate change resilient structures