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Effective transverse modulus of a damaged layer: Potential for predicting symmetric laminate stiffness degradation
Luleå University of Technology, Sweden.
RISE - Research Institutes of Sweden (2017-2019), Material och produktion, SICOMP.ORCID-id: 0000-0003-4472-1742
2017 (engelsk)Inngår i: Journal of composite materials, ISSN 0021-9983, E-ISSN 1530-793X, Vol. 51, nr 14, s. 1945-1959Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The old concept of the effective stiffness of a 90-layer with intralaminar cracks is revisited performing 3-D FEM parametric analysis of symmetric and balanced laminates. It is shown, focusing on the effective transverse modulus, that the expected dependence of this property on composite elastic properties and laminate lay-up is very weak and follows very simple rules. Calculations show that the effective longitudinal modulus and Poisson’s ratio of the layer are not affected at all by intralaminar cracking. Simple fitting curve for effective transverse modulus change with normalized crack density is obtained from analysis of GF/EP cross-ply laminate. It is shown, comparing with FEM results and experimental data, that this expression can be used as a ‘master curve’ in laminate theory to predict macroscopic elastic property change with crack density in laminates with very different lay-ups and made of different unidirectional composites.

sted, utgiver, år, opplag, sider
SAGE Publications Ltd , 2017. Vol. 51, nr 14, s. 1945-1959
Emneord [en]
Cracks; Curve fitting; Elasticity; Finite element method; Laminates; Stiffness, Composite elastic properties; Crack opening displacements; Intralaminar crackings; Longitudinal modulus; Parametric -analysis; Transverse cracking; Transverse modulus; Unidirectional composites, Laminated composites
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Identifikatorer
URN: urn:nbn:se:ri:diva-30046DOI: 10.1177/0021998316658965Scopus ID: 2-s2.0-85020108151OAI: oai:DiVA.org:ri-30046DiVA, id: diva2:1119485
Tilgjengelig fra: 2017-07-04 Laget: 2017-07-04 Sist oppdatert: 2024-10-28bibliografisk kontrollert

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