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January 22, 20261 citations

Study on defect influence on elastic stifnesses and strength of auxetic cellular materials

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JMJanus MałgorzataMMMarschalko Marian

Key Points

  • The aim is to evaluate how randomly removed structural members in auxetic materials influence their elastic properties and strength.
  • Utilized statistical volume elements to ensure accurate evaluations.
  • Conducted statistical analysis using Mathcad code.
  • Performed finite element calculations with ABAQUS FEA on inverted honeycomb structures.
  • Employed Timoshenko beam elements to discretize the material microstructure and assess mesh density effects.
  • Defined the relationship between residual effective elastic moduli and defect density for inverted honeycomb microstructures.
  • Found dependence of strength on the density of defects in different geometric configurations.

Abstract

The goal of this paper is to investigate the effects of randomly removed structural members of auxetic cellular material on the evaluation of elastic constants. Statistical volume element SVE size ensuring prescribed accuracy is adopted by giving relation with the size of representative volume element RVE considering number of statistical random defects. Statistical analysis is carried out within the Mathcad code. Inverted honeycomb structures with randomly removed structural members under the typical statistical boundary conditions are considered. The study is achieved by conducting finite element calculation by means of ABAQUS FEA of the auxetic structure leading to obtaining the stiffness matrix and strength. Timoshenko beam elements are used for material microstructure discretization with special attention paid on relation of mesh density with results accuracy. Influence of geometric microstructural parameters on examples of variety of inverted honeycomb microstructures is studied. As result dependence of residual effective elastic moduli and strength on defects density for each microstructure is specified.

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Cite This Study

Małgorzata et al. (2026) studied this question.

synapsesocial.com/papers/6971bdad642b1836717e25d6https://doi.org/10.37705/techtrans/e2026001
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