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Canal Casado, Luis Pablo, González Martínez, Carlos Daniel, Molina Aldareguía, Jon M., Segurado Escudero, Javier and Llorca Martinez, Francisco Javier (2012). Application of digital image correlation at the microscale in fiber-reinforced composites. "Composites Part A: Applied Science and Manufacturing", v. 43 (n. 10); pp. 1630-1638. ISSN 1359-835X.
Title: | Application of digital image correlation at the microscale in fiber-reinforced composites |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Composites Part A: Applied Science and Manufacturing |
Date: | October 2012 |
ISSN: | 1359-835X |
Volume: | 43 |
Subjects: | |
Faculty: | E.T.S.I. Caminos, Canales y Puertos (UPM) |
Department: | Ciencia de los Materiales |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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Digital image correlation (DIC) is applied to analyzing the deformation mechanisms under transverse compression in a fiber-reinforced composite. To this end, compression tests in a direction perpendicular to the fibers were carried out inside a scanning electron microscope and secondary electron images obtained at different magnifications during the test. Optimum DIC parameters to resolve the displacement and strain field were computed from numerical simulations of a model composite and they were applied to micrographs obtained at different magnifications (250_, 2000_, and 6000_). It is shown that DIC of low-magnification micrographs was able to capture the long range fluctuations in strain due to the presence of matrix-rich and fiber-rich zones, responsible for the onset of damage. At higher magnification, the strain fields obtained with DIC qualitatively reproduce the non-homogeneous deformation pattern due to the presence of stiff fibers dispersed in a compliant matrix and provide accurate results of the average composite strain. However, comparison with finite element simulations revealed that DIC was not able to accurately capture the average strain in each phase.
Item ID: | 16007 |
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DC Identifier: | https://oa.upm.es/16007/ |
OAI Identifier: | oai:oa.upm.es:16007 |
Official URL: | http://www.sciencedirect.com/science/article/pii/S... |
Deposited by: | Memoria Investigacion |
Deposited on: | 18 Oct 2013 10:37 |
Last Modified: | 27 Feb 2023 07:24 |