<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:10481/84569">
      <dc:title>Pypiezo-GO: A software tool for processing electromechanical measurements of piezoelectric reduced graphene oxide-cement composites</dc:title>
      <dc:creator>Triana-Camacho, Daniel A.</dc:creator>
      <dc:creator>Quintero-Orozco, Jorge H.</dc:creator>
      <dc:creator>García Macías, Enrique</dc:creator>
      <dc:subject>Cyclic voltammetry</dc:subject>
      <dc:subject>DataFrame</dc:subject>
      <dc:subject>Open circuit potential</dc:subject>
      <dc:subject>Piezoelectricity</dc:subject>
      <dc:subject>Python language</dc:subject>
      <dc:subject>Reduced-graphene-oxide</dc:subject>
      <dc:description>Self-diagnostic composites have become increasingly popular for structural health monitoring due to&#xd;
their ability to develop load-bearing strain sensors. Piezoelectric cement composites, in particular,&#xd;
represent an emerging area of research with vast potential for developing innovative self-powered or&#xd;
ultra-low power consumption sensors. In this context, this paper presents Pypiezo-GO, a software&#xd;
tool designed for the electromechanical characterization of reduced graphene oxide (rGO)-cement&#xd;
composites. The software tool, developed as an online cloud computing platform, accesses a database&#xd;
organized into DataFrame structures. The database contains the measurements from a set of experiments&#xd;
conducted on rGO-cement samples, including open circuit potential, cyclic voltammetry,&#xd;
and compressive testing. On this basis, Pypiezo-GO allows extracting the electrical properties of&#xd;
the samples, including their capacitance and piezoelectric factors. Furthermore, the platform enables&#xd;
the comparison of experimental time series with numerical predictions from a lumped circuit model&#xd;
implemented in MATLAB/Simulink, which is also included in this contribution. The presented software&#xd;
code is intended to represent a valuable tool for the development of new piezoelectric cement&#xd;
composites for strain self-sensing applications.</dc:description>
      <dc:date>2023-09-22T07:08:16Z</dc:date>
      <dc:date>2023-09-22T07:08:16Z</dc:date>
      <dc:date>2023-07</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Daniel A. Triana-Camacho, Jorge H. Quintero-Orozco and Enrique García-Macías. Pypiezo-GO: A software tool for processing electromechanical measurements of piezoelectric reduced graphene oxide-cement composites. SoftwareX 23 (2023) 101451[https://doi.org/10.1016/j.softx.2023.101451]</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/84569</dc:identifier>
      <dc:identifier>10.1016/j.softx.2023.101451</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución 4.0 Internacional</dc:rights>
      <dc:publisher>Elsevier</dc:publisher>
   </ow:Publication>
</rdf:RDF>