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      Bending analysis of functionally graded porous nanocomposite beams based on a non-local strain gradient theory

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          Abstract

          In the present work we study the static response of functionally graded (FG) porous nanocomposite beams, with a uniform or non-uniform layer-wise distribution of the internal pores and graphene platelets (GPLs) reinforcing phase in the matrix, according to three different patterns. The finite-element approach is developed here together with a non-local strain gradient theory and a novel trigonometric two-variable shear deformation beam theory, to study the combined effects of the non-local stress and strain gradient on the FG structure. The governing equations of the problem are solved introducing a three-node beam element. A comprehensive parametric study is carried out on the bending behavior of nanocomposite beams, with a particular focus on their sensitivity to the weight fraction and distribution pattern of GPLs reinforcement, as well as to the non-local scale parameters, geometrical properties, and boundary conditions. Based on the results, it seems that the porosity distribution and GPLs pattern have a meaningful effect on the structural behavior of nanocomposite beams, where the optimal response is reached for a non-uniform and symmetric porosity distribution and GPLs dispersion pattern within the material.

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          Helical microtubules of graphitic carbon

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            On differential equations of nonlocal elasticity and solutions of screw dislocation and surface waves

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              Enhanced mechanical properties of nanocomposites at low graphene content.

              In this study, the mechanical properties of epoxy nanocomposites with graphene platelets, single-walled carbon nanotubes, and multi-walled carbon nanotube additives were compared at a nanofiller weight fraction of 0.1 +/- 0.002%. The mechanical properties measured were the Young's modulus, ultimate tensile strength, fracture toughness, fracture energy, and the material's resistance to fatigue crack propagation. The results indicate that graphene platelets significantly out-perform carbon nanotube additives. The Young's modulus of the graphene nanocomposite was approximately 31% greater than the pristine epoxy as compared to approximately 3% increase for single-walled carbon nanotubes. The tensile strength of the baseline epoxy was enhanced by approximately 40% with graphene platelets compared to approximately 14% improvement for multi-walled carbon nanotubes. The mode I fracture toughness of the nanocomposite with graphene platelets showed approximately 53% increase over the epoxy compared to approximately 20% improvement for multi-walled carbon nanotubes. The fatigue resistance results also showed significantly different trends. While the fatigue suppression response of nanotube/epoxy composites degrades dramatically as the stress intensity factor amplitude is increased, the reverse effect is seen for graphene-based nanocomposites. The superiority of graphene platelets over carbon nanotubes in terms of mechanical properties enhancement may be related to their high specific surface area, enhanced nanofiller-matrix adhesion/interlocking arising from their wrinkled (rough) surface, as well as the two-dimensional (planar) geometry of graphene platelets.
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                Author and article information

                Contributors
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                Journal
                Mathematics and Mechanics of Solids
                Mathematics and Mechanics of Solids
                SAGE Publications
                1081-2865
                1741-3028
                January 2022
                May 12 2021
                January 2022
                : 27
                : 1
                : 66-92
                Affiliations
                [1 ]LISV, University of Versailles Saint-Quentin, Vélizy, France
                [2 ]Laboratoire d’Etude des Structures et de Mécanique des Matériaux, University Mustapha Stambouli of Mascara, Algeria
                [3 ]University of Paris 13-CNRS, LSPM, UPR 3407, Villetaneuse, France
                [4 ]Department of Innovation Engineering, University of Salento, Lecce, Italy
                Article
                10.1177/10812865211011759
                ddb674f1-29d1-4e39-8162-44f527186405
                © 2022

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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