<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/105158">
      <dc:title>Self-powered wireless structural sensors for long-term monitoring of bridges</dc:title>
      <dc:creator>Castellini, Luca</dc:creator>
      <dc:creator>García Macías, Enrique</dc:creator>
      <dc:creator>Ubertini, Filippo</dc:creator>
      <dc:creator>Clementi, Giacomo</dc:creator>
      <dc:subject>Structural Health Monitoring</dc:subject>
      <dc:subject>Bridge monitoring</dc:subject>
      <dc:subject>Dynamic monitoring</dc:subject>
      <dc:subject>energy harvesting</dc:subject>
      <dc:description>The 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.</dc:description>
      <dc:date>2025-07-10T07:14:48Z</dc:date>
      <dc:date>2025-07-10T07:14:48Z</dc:date>
      <dc:date>2024</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Castellini, L., García-Macías, E., Ubertini, F., &amp; 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.2024.09.111</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/105158</dc:identifier>
      <dc:identifier>10.1016/j.prostr.2024.09.111</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
      <dc:publisher>Elsevier</dc:publisher>
   </ow:Publication>
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