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Boundary element method homogenization of the periodic linear elastic fiber composites
Authors:M Kami ski
Affiliation:1. Faculty of Mechanical Engineering, Technion IIT, Israel Institute of Technology, Haifa, Israel;2. Rafael – Advanced defense systems Ltd., Israel;1. College of Science, Yanshan University, Qinhuangdao, Hebei 066004, China;2. Linghai Meteorological Bureau, Linghai, Liaoning 121200, China;1. Department of Software Engineering (SWE), Daffodil International University, Shukrabad, Dhaka, 1207, Bangladesh;2. Group of Bio-photomatiχ, Bangladesh;3. Department of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail, 1902, Bangladesh;4. Department of Physics, Mawlana Bhashani Science and Technology University, Santosh, Tangail, 1902, Bangladesh;5. Department of Electronics and Communication Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, 641042, India
Abstract:The paper presented is devoted to the Boundary Element Method based homogenization of the periodic transversely isotropic linear elastic fiber-reinforced composites. The composite material under consideration has deterministically defined elastic properties while its components are perfectly bonded. To have a good comparison with the FEM-based computational techniques used previously, the additional Finite Element discretization is presented and compared numerically against BEM homogenization implementation on the example of engineering glass–epoxy composite. The homogenization method proposed has rather general characteristics and, as it is shown, can be easily extended on n-component composites. On the contrary, we can consider and homogenize the heterogeneous media with randomly defined material properties using Monte-Carlo simulation technique or second order perturbation second probabilistic moment approach.
Keywords:Homogenization  Effective modules method  Boundary element method  Finite element method  Periodic composite materials  Stochastic perturbation approach
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