@misc{10481/84569,
year = {2023},
month = {7},
url = {https://hdl.handle.net/10481/84569},
abstract = {Self-diagnostic composites have become increasingly popular for structural health monitoring due to
their ability to develop load-bearing strain sensors. Piezoelectric cement composites, in particular,
represent an emerging area of research with vast potential for developing innovative self-powered or
ultra-low power consumption sensors. In this context, this paper presents Pypiezo-GO, a software
tool designed for the electromechanical characterization of reduced graphene oxide (rGO)-cement
composites. The software tool, developed as an online cloud computing platform, accesses a database
organized into DataFrame structures. The database contains the measurements from a set of experiments
conducted on rGO-cement samples, including open circuit potential, cyclic voltammetry,
and compressive testing. On this basis, Pypiezo-GO allows extracting the electrical properties of
the samples, including their capacitance and piezoelectric factors. Furthermore, the platform enables
the comparison of experimental time series with numerical predictions from a lumped circuit model
implemented in MATLAB/Simulink, which is also included in this contribution. The presented software
code is intended to represent a valuable tool for the development of new piezoelectric cement
composites for strain self-sensing applications.},
organization = {Program 890 of MinCiencias
by the project numbers 82779 and 8286-3765},
organization = {Scholarships program of MinCiencias Programa
de Becas de Excelencia Doctoral del Bicentenario - Corte 2, 2019},
organization = {Consejería de Transformación
Económica, Conocimiento, Empresas y Universidades
de la Junta de Andalucía (Spain) through the research project
P18-RT-3128},
publisher = {Elsevier},
keywords = {Cyclic voltammetry},
keywords = {DataFrame},
keywords = {Open circuit potential},
keywords = {Piezoelectricity},
keywords = {Python language},
keywords = {Reduced-graphene-oxide},
title = {Pypiezo-GO: A software tool for processing electromechanical measurements of piezoelectric reduced graphene oxide-cement composites},
doi = {10.1016/j.softx.2023.101451},
author = {Triana-Camacho, Daniel A. and Quintero-Orozco, Jorge H. and García Macías, Enrique},
}