Random Auxetic Porous Materials from Parametric Growth Processes - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Computer-Aided Design Year : 2021

Random Auxetic Porous Materials from Parametric Growth Processes

Jonàs Martínez

Abstract

We introduce a computational approach to optimize random porous materials via parametric growth processes. We focus on the problem of minimizing the Poisson's ratio of a two-phase porous random material, which results in an auxetic material. Initially, we perform a parametric optimization of the growth process. Afterward, the optimized parametric growth process implicitly generates an auxetic random material. Namely, the growth process intrinsically entails the formation of an auxetic material. Our approach enables the computation of large-scale auxetic random materials in commodity computers. We also provide numerical results indicating that the computed auxetic materials have close to isotropic linear elastic behavior and physical tests revealing auxetic behavior.
Fichier principal
Vignette du fichier
paper.pdf (19.65 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-02911788 , version 1 (04-08-2020)
hal-02911788 , version 2 (10-11-2020)
hal-02911788 , version 3 (05-07-2021)

Identifiers

Cite

Jonàs Martínez. Random Auxetic Porous Materials from Parametric Growth Processes. Computer-Aided Design, 2021, 139, ⟨10.1016/j.cad.2021.103069⟩. ⟨hal-02911788v3⟩
370 View
242 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More