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> Crossing Scales: Data-Driven Determination of the Micro-scale Behavior of Polymers From Non-homogeneous Tests at the Continuum-Scale
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Crossing Scales: Data-Driven Determination of the Micro-scale Behavior of Polymers From Non-homogeneous Tests at the Continuum-Scale
Amores, V. J.
;
Montáns, F. J.
;
Cueto, E.
(Universidad de Zaragoza)
;
Chinesta, F.
Resumen:
We propose an efficient method to determine the micro-structural entropic behavior of polymer chains directly from a sufficiently rich non-homogeneous experiment at the continuum scale. The procedure is developed in 2 stages: First, a Macro-Micro-Macro approach; second, a finite element method. Thus, we no longer require the typical stress-strain curves from standard homogeneous tests, but we use instead the applied/reaction forces and the displacement field obtained, for example, from Digital Image Correlation. The approach is based on the P-spline local approximation of the constituents behavior at the micro-scale (a priori unknown). The sought spline vertices determining the polymer behavior are first pushed up from the micro-scale to the integration point of the finite element, and then from the integration point to the element forces. The polymer chain behavior is then obtained immediately by solving a linear system of equations which results from a least squares minimization error, resulting in an inverse problem which crosses material scales. The result is physically interpretable and directly linked to the micro-structure of the material, and the resulting polymer behavior may be employed in any other finite element simulation. We give some demonstrative examples (academic and from actual polymers) in which we demonstrate that we are capable of recovering “unknown” analytical models and spline-based constitutive behavior previously obtained from homogeneous tests. Copyright © 2022 Amores, Montáns, Cueto and Chinesta.
Idioma:
Inglés
DOI:
10.3389/fmats.2022.879614
Año:
2022
Publicado en:
Frontiers in Materials
9 (2022), 879614 [13 pp.]
ISSN:
2296-8016
Factor impacto JCR:
3.2 (2022)
Categ. JCR:
MATERIALS SCIENCE, MULTIDISCIPLINARY
rank: 185 / 343 = 0.539
(2022)
- Q3
- T2
Factor impacto CITESCORE:
4.7 -
Materials Science
(Q2)
Factor impacto SCIMAGO:
0.63 -
Materials Science (miscellaneous)
(Q2)
Financiación:
info:eu-repo/grantAgreement/EC/H2020/101007815/EU/COncurrent METAmaterial-Structure design using functionally graded metamaterials/CoMetaS
Tipo y forma:
Artículo (Versión definitiva)
Área (Departamento):
Área Mec.Med.Cont. y Teor.Est.
(
Dpto. Ingeniería Mecánica
)
Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace.
Exportado de SIDERAL (2024-03-18-15:48:15)
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Registro creado el 2022-09-14, última modificación el 2024-03-19
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