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Prediction for Mechanical Properties of Core-Shell Particle-filled Polymers via Statistical Two-Scale Method

In: Computational Mechanics

Author

Listed:
  • Fei Han

    (Northwestern Polytechnical University, School of Science)

  • Junzhi Cui

    (CAS, Academy of Mathematics and System Sciences)

  • Yan Yu

    (Northwestern Polytechnical University, School of Science)

Abstract

The statistical two-scale predictive method is presented for the mechanics parameters of core-shell particle-filled polymers, including stiffness and strength. A ε -scale random distribution model is stated, and some major formulations of the statistical two-scale asymptotic expressions for composite materials with randomly distributed particles are briefly given. A computer generation method is mentioned to simulate meso-configurations of 3-D models of core-shell particle-filled polymers. And then a new effective mesh generation algorithm is presented for core-shell particle-filled polymers. The meshes generated by this algorithm can exhibit cores, shells and matrix, more correctly. The two-scale expression formulas of the strains and stresses for conventionally strength experimental components, such as the column for tension or twist, the cantilever beam for bending, which are made of the core-shell particle-filled polymers, are developed by means of the fundamental solutions, and then the procedure of the computation is discussed. The elasticity strength criterions, which can be different for core, shell and matrix, are applied to the polymer with core-shell particles. The numerical results for both stiffness and strength parameter computation are compared with the experimental data. The agreements indicate that the statistical two-scale predictive method is effective and credible for the mechanical properties of core-shell particle-filled polymers.

Suggested Citation

  • Fei Han & Junzhi Cui & Yan Yu, 2007. "Prediction for Mechanical Properties of Core-Shell Particle-filled Polymers via Statistical Two-Scale Method," Springer Books, in: Computational Mechanics, pages 302-302, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-75999-7_102
    DOI: 10.1007/978-3-540-75999-7_102
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