Detail publikace

Numerical Modelling of Particulate Composite with a Hyperelastic Matrix

MÁŠA, B. NÁHLÍK, L. HUTAŘ, P.

Anglický název

Numerical Modelling of Particulate Composite with a Hyperelastic Matrix

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

Originální abstrakt

The main aim of the paper is an estimation of the macroscopic mechanical properties of particulate composites using numerical methods. Matrix of the considered composite was crosslinked polymethyl methacrylate – PMMA in a rubbery state, which exhibits hyperelastic behaviour. The three parameter Mooney Rivlin material model, which is based on the strain energy density function, was chosen for description of the matrix behaviour. Alumina based particles (Al2O3) were used as a filler. Numerical modelling based on the finite element method (FEM) was performed to determine stress-strain curve of the considered particulate composite. Representative volume element (RVE) model was chosen for FE analyses as a modelling approach of a composite microstructure. Various geometry arrangements of particles and various directions of loading have been considered and composite anisotropy has been investigated. A good agreement between numerical calculations with damage model and experimental data has been found and the described method may have a great potential for numerical modelling of composite behaviour and design of new particulate composite materials.

Klíčová slova anglicky

Particle reinforced composites, polymer matrix composites, mechanical response, finite element analysis

Vydáno

2013-01-03

Nakladatel

TTP

Místo

Švýcarsko

ISSN

1013-9826

Časopis

Key Engineering Materials (print)

Ročník

525-526

Číslo

xxx

Strany od–do

25–28

Počet stran

4

BIBTEX


@article{BUT96824,
  author="Bohuslav {Máša} and Luboš {Náhlík} and Pavel {Hutař}",
  title="Numerical Modelling of Particulate Composite with a Hyperelastic Matrix",
  journal="Key Engineering Materials (print)",
  year="2013",
  volume="525-526",
  number="xxx",
  pages="25--28",
  issn="1013-9826"
}