Statistical approach for a hyper-visco-plastic model for filled rubber: experimental characterization and numerical modeling

Abstract : This paper presents a campaign of experimental tests performed on a silicone elastomer filled with silica particles. These tests were conducted under controlled temperatures (ranging from-55 o C to +70 o C) and under uniaxial tension and in shearing modes. In these two classes of tests, the specimens were subjected to cyclic loading at various deformation rates and amplitudes and relaxation tests at various levels of deformation. A statistical hyper-visco-elasto-plastic model is then presented, which covers a wide loading frequency spectrum and requires indentifying only a few characteristic parameters. The method used to identify these parameters consists in performing several successive partial identifications with a view to reducing the coupling effects between the parameters. Lastly, comparisons between modeling predictions and the experimental data recorded under harmonic loading, confirm the accuracy of the model in a relatively wide frequency range and a large range of deformations.
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Jean-Marc Martinez, Adnane Boukamel, Stéphane Méo, Stéphane Lejeunes. Statistical approach for a hyper-visco-plastic model for filled rubber: experimental characterization and numerical modeling. European Journal of Mechanics - A/Solids, Elsevier, 2011, 30 (6), pp.1028-1039. ⟨10.1016/j.euromechsol.2011.06.013⟩. ⟨hal-00614912⟩

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