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Parameter Identification of Fractional Index Viscoelastic Model for Vegetable-Fiber Reinforced Composite

In the present work, parameters for adapting the behavior of the uniaxial three-element viscoelastic constitutive model with integer and fractional index derivatives to the mechanical evolution of an epoxy-composite material reinforced with long random henequen fibers, were determined. Cyclic loadin...

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Autores principales: Rodríguez Soto, Angel Alexander, Valín Rivera, José Luís, Sanabio Alves Borges, Lavinia María, Palomares Ruiz, Juan Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654397/
https://www.ncbi.nlm.nih.gov/pubmed/36365627
http://dx.doi.org/10.3390/polym14214634
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author Rodríguez Soto, Angel Alexander
Valín Rivera, José Luís
Sanabio Alves Borges, Lavinia María
Palomares Ruiz, Juan Enrique
author_facet Rodríguez Soto, Angel Alexander
Valín Rivera, José Luís
Sanabio Alves Borges, Lavinia María
Palomares Ruiz, Juan Enrique
author_sort Rodríguez Soto, Angel Alexander
collection PubMed
description In the present work, parameters for adapting the behavior of the uniaxial three-element viscoelastic constitutive model with integer and fractional index derivatives to the mechanical evolution of an epoxy-composite material reinforced with long random henequen fibers, were determined. Cyclic loading–unloading with [Formula: see text] , [Formula: see text] , [Formula: see text] , …, [Formula: see text] controlled strain and staggered fluency experiments at 5 MPa, 10 MPa, and 15 MPa constant tension were performed in stages, and the obtained data were used to determine and validate the model’s parameter values. The Inverse Method of Identification was used to calculate the parameters, and the Particle Swarm Optimization (PSO) method was employed to achieve minimization of the error function. A comparison between the simulated uniaxial results and the experimental data is demonstrated graphically. There exists a strong dependence between properties of the composite and the fiber content (0 wt%, 9 wt%, 14 wt%, 22 wt%, and 28 wt% weight percentage fiber/matrix), and therefore also of the model parameter values. Both uniaxial models follow the viscoelastic behavior of the material and the fractional index version presents the best accuracy. The latter method was noted to be adequate for determination of the aforementioned constants using non-large experimental data and procedures that are easy to implement.
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spelling pubmed-96543972022-11-15 Parameter Identification of Fractional Index Viscoelastic Model for Vegetable-Fiber Reinforced Composite Rodríguez Soto, Angel Alexander Valín Rivera, José Luís Sanabio Alves Borges, Lavinia María Palomares Ruiz, Juan Enrique Polymers (Basel) Article In the present work, parameters for adapting the behavior of the uniaxial three-element viscoelastic constitutive model with integer and fractional index derivatives to the mechanical evolution of an epoxy-composite material reinforced with long random henequen fibers, were determined. Cyclic loading–unloading with [Formula: see text] , [Formula: see text] , [Formula: see text] , …, [Formula: see text] controlled strain and staggered fluency experiments at 5 MPa, 10 MPa, and 15 MPa constant tension were performed in stages, and the obtained data were used to determine and validate the model’s parameter values. The Inverse Method of Identification was used to calculate the parameters, and the Particle Swarm Optimization (PSO) method was employed to achieve minimization of the error function. A comparison between the simulated uniaxial results and the experimental data is demonstrated graphically. There exists a strong dependence between properties of the composite and the fiber content (0 wt%, 9 wt%, 14 wt%, 22 wt%, and 28 wt% weight percentage fiber/matrix), and therefore also of the model parameter values. Both uniaxial models follow the viscoelastic behavior of the material and the fractional index version presents the best accuracy. The latter method was noted to be adequate for determination of the aforementioned constants using non-large experimental data and procedures that are easy to implement. MDPI 2022-10-31 /pmc/articles/PMC9654397/ /pubmed/36365627 http://dx.doi.org/10.3390/polym14214634 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rodríguez Soto, Angel Alexander
Valín Rivera, José Luís
Sanabio Alves Borges, Lavinia María
Palomares Ruiz, Juan Enrique
Parameter Identification of Fractional Index Viscoelastic Model for Vegetable-Fiber Reinforced Composite
title Parameter Identification of Fractional Index Viscoelastic Model for Vegetable-Fiber Reinforced Composite
title_full Parameter Identification of Fractional Index Viscoelastic Model for Vegetable-Fiber Reinforced Composite
title_fullStr Parameter Identification of Fractional Index Viscoelastic Model for Vegetable-Fiber Reinforced Composite
title_full_unstemmed Parameter Identification of Fractional Index Viscoelastic Model for Vegetable-Fiber Reinforced Composite
title_short Parameter Identification of Fractional Index Viscoelastic Model for Vegetable-Fiber Reinforced Composite
title_sort parameter identification of fractional index viscoelastic model for vegetable-fiber reinforced composite
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654397/
https://www.ncbi.nlm.nih.gov/pubmed/36365627
http://dx.doi.org/10.3390/polym14214634
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