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dc.creatorTriantafyllou, A.en
dc.creatorGiannakopoulos, A. E.en
dc.date.accessioned2015-11-23T10:50:19Z
dc.date.available2015-11-23T10:50:19Z
dc.date.issued2013
dc.identifier10.1016/j.mechmat.2012.09.007
dc.identifier.issn0167-6636
dc.identifier.urihttp://hdl.handle.net/11615/33710
dc.description.abstractWe present explicit upper bound estimates of the microstructural length used in simple gradient elasticity. Our model is a two dimensional composite made of circular hard inclusions randomly dispersed in a soft matrix. Both inclusions and matrix are described by isotropic linear elastic constitutive laws. The composite, however, is described by an isotropic gradient elastic law. The elastic modulus and the Poisson's ratio are given by the exact classic analysis of Christensen. The in-plane microstructural length is estimated by energy optimization, based on solutions of the gradient elastic hollow cylinder. It was shown that the microstructural length decreases with the composition of the particles, taking high values at low particle composition. Naturally, the microstructural length is proportional to the particle diameter and increases with the stiffness of the particles. It was shown that there can be no microstructural prediction for particles that are softer than the matrix. This interesting result seems to be complementary to the result of Bigoni and Drugan who found that, for the couple-stress composite model, there can be no prediction for the microstructural length when the particles are stiffer than the matrix. (C) 2012 Elsevier Ltd. All rights reserved.en
dc.sourceMechanics of Materialsen
dc.source.uri<Go to ISI>://WOS:000312520000003
dc.subjectStrain gradient elasticityen
dc.subjectHomogenizationen
dc.subjectMechanical propertiesen
dc.subjectCOMPOSITE-MATERIALSen
dc.subjectDIFFERENTIAL SCHEMEen
dc.subjectMODULIen
dc.subjectMaterials Science, Multidisciplinaryen
dc.subjectMechanicsen
dc.titleDerivation of strain gradient length via homogenization of heterogeneous elastic materialsen
dc.typejournalArticleen


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