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dc.contributor.authorDel Sol Sánchez, Miguel 
dc.contributor.authorCastillo Mingorance, Juan Manuel
dc.contributor.authorMoreno Navarro, Fernando Manuel 
dc.contributor.authorRubio Gámez, María Del Carmen 
dc.date.accessioned2026-01-27T10:40:26Z
dc.date.available2026-01-27T10:40:26Z
dc.date.issued2021-12
dc.identifier.citationM. Sol-Sánchez, J.M. Castillo-Mingorance, F. Moreno-Navarro, M.C. Rubio-Gámez. Smart rail pads for the continuous monitoring of sensored railway tracks: Sensors analysis. Automation in Construction, Volume 132, 2021, 103950. ISSN 0926-5805es_ES
dc.identifier.urihttps://hdl.handle.net/10481/110321
dc.description.abstractThe inclusion of sensors in railway track components will permit the automated and real-time monitoring of track behaviour and traffic conditions; necessary for adopting preventive maintenance strategies. In this sense, this paper assesses the applicability of three different sensor types, commonly used for engineering applications, to be included into rail pads to thus provide smart components with sensing properties to monitor railway tracks. Various types of accelerometer, piezoresistive and piezoelectric sensors were evaluated to determine their viability for smart rail pads. Results demonstrated that piezoelectric devices showed a linear correlation between signal output and stress levels on pads, in contrast to piezoresistive panels which presented a logarithmic response, and clearer signal pulses than the other sensors to detect changes in loading conditions or track response. Therefore, piezoelectrics presented the highest implementation potential for this application, considering its low cost and clearer ability to monitor variations in traffic and/or track state.es_ES
dc.description.sponsorshipLabIC.UGRes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.subjectSmart materialses_ES
dc.subjectAutomated railwayses_ES
dc.subjectSensors es_ES
dc.subjectRail padses_ES
dc.subjectMonitoringes_ES
dc.titleSmart rail pads for the continuous monitoring of sensored railway tracks: Sensors analysises_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doihttps://doi.org/10.1016/j.autcon.2021.103950


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