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Potential of a simple variational analysis in predicting shear modulus of laminates with cracks in 90-layers
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Material Science.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Material Science.ORCID iD: 0000-0001-9649-8621
2014 (English)In: Journal of composite materials, ISSN 0021-9983, E-ISSN 1530-793X, Vol. 48, no 15, p. 1843-1856Article in journal (Refereed) Published
Abstract [en]

The potential of accurate modelling of the shear modulus reduction of laminates with cracked 90-layers using models based on the minimization of the complementary energy with improved stress description in the constraint layers is evaluated. This group of models refine Hashin’s model by introducing shape functions with unknown parameters to represent the out-of-plane shear stress distribution across the constraint layer thickness. The Hashin’s model becomes a particular case of the presented when the shape parameter approaches to zero. The most accurate shape parameters are found in the result of minimization. Three models are compared: the present variational model, Hashin’s model and the shear lag model introduced by Soutis which assumes linear out-of-plane shear stress distribution over an unknown part of the layer. It is shown in this paper that the size of this part may be determined by minimization of the complementary energy. The present model is the most accurate amongst the three, whereas Soutis’ model is more accurate than the Hashin’s model for laminates with constraint layer, thicker than the cracked layer. The comparison with finite element method results shows reasonable agreement. Agreement can be improved developing models with better description of the stress state in the cracked layer.

Place, publisher, year, edition, pages
2014. Vol. 48, no 15, p. 1843-1856
National Category
Composite Science and Engineering
Research subject
Polymeric Composite Materials
Identifiers
URN: urn:nbn:se:ltu:diva-13613DOI: 10.1177/0021998313490976ISI: 000337559400005Scopus ID: 2-s2.0-84902103414Local ID: cd94ad2d-5142-4ec9-828a-4b42c9337bacOAI: oai:DiVA.org:ltu-13613DiVA, id: diva2:986566
Note
Validerad; 2014; 20130617 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Giannadakis, KonstantinosVarna, Janis

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