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dc.contributor.authorCastellini, Luca
dc.contributor.authorGarcía Macías, Enrique 
dc.contributor.authorUbertini, Filippo
dc.contributor.authorClementi, Giacomo
dc.date.accessioned2025-07-10T07:14:48Z
dc.date.available2025-07-10T07:14:48Z
dc.date.issued2024
dc.identifier.citationCastellini, L., García-Macías, E., Ubertini, F., & Clementi, G. (2024). Self-powered wireless structural sensors for long-term monitoring of bridges. Procedia Structural Integrity, 62, 824–831. https://doi.org/10.1016/j.prostr.2024.09.111es_ES
dc.identifier.urihttps://hdl.handle.net/10481/105158
dc.description.abstractThe present work introduces the design of a self-powered wireless static and dynamic structural monitoring system developed by Wisepower Srl and deployed on some bridges along the S.S. 675 "Umbro-Laziale" (former "Civitavecchia - Orte" junction) since 2018. The most significant aspect of the developed monitoring system lies in the fact that it consists of a wireless network of MEMS accelerometers (noise spectral density in all axes: 22.5 μg/√Hz, and sensitivity: 3.9 μg/LSB) powered by energy harvesting systems, which can convert environmental energy (i.e. vibrations and light) into electrical energy collected in batteries, so extending the life and minimizing the maintenance cycles of the devices. Vibration-based energy harvesting is achieved through a non-linear resonator, which utilizes a wider spectrum of frequencies compared to traditional linear vibration energy harvesters owing to its non-linear dynamics. The efficiency of the system is further enhanced by the combination of solar panels, overcoming the limitations associated with traditional wiring or batteries, widening the lifespan of the electronics, and reducing the maintenance costs. The paper reports the analysis method and the data elaboration of some ambient acceleration records, validating the system for natural frequencies identification.es_ES
dc.description.sponsorshipUniversity of Perugia (Italy)es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectStructural Health Monitoringes_ES
dc.subjectBridge monitoringes_ES
dc.subjectDynamic monitoringes_ES
dc.subjectenergy harvestinges_ES
dc.titleSelf-powered wireless structural sensors for long-term monitoring of bridgeses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.prostr.2024.09.111
dc.type.hasVersionVoRes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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