2017
DOI: 10.17222/mit.2015.177
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Comparison of homogenization approaches used for the identification of the material parameters of unidirectional composites

Abstract: The paper is aimed at the identification of the material parameters of the constituents of unidirectional long-fiber carbon/epoxy composites. The ratios between the real fiber and the matrix volume of unidirectional fiber composites were identified from the images obtained with scanning electron microscopy (SEM). Fiber and matrix areas were analyzed using Matlab and its image-processing toolbox. Determined volume ratios were used to propose the geometry of a micromechanical representative volume element. An al… Show more

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Cited by 2 publications
(2 citation statements)
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“…Therefore, a more accurate identification process can be done using a numerical model where the F-t or F-u curves of finite-element-method simulations are fitted to the experimental data. 7,8 Figure 18 shows a pressure-volume ratio diagram of the volumetric compression test. Assuming a hydrostatic stress field, the value of the initial bulk modulus was determined to be K = 9.3 MPa.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, a more accurate identification process can be done using a numerical model where the F-t or F-u curves of finite-element-method simulations are fitted to the experimental data. 7,8 Figure 18 shows a pressure-volume ratio diagram of the volumetric compression test. Assuming a hydrostatic stress field, the value of the initial bulk modulus was determined to be K = 9.3 MPa.…”
Section: Resultsmentioning
confidence: 99%
“…Different homogenization methods for the yarns are investigated in the literature. One can cite the Mori-Tanaka method, the self-consistent scheme, the three phase approach, the composite cylinder assemblage, or the finite element homogenization based on the description of a RVE with fibers and matrix, as used by Green et al [19] or Srbová et al [20]. In Chen et al [16] or in Abaimov et al [21], different homogenization methods are compared, but over a certain volume fraction of fibers, the quality of the predictions is reduced.…”
Section: Introductionmentioning
confidence: 99%