TY - GEN
T1 - Design of isotropic microstructures via a two-scale approach
AU - Faure, Alexis
AU - Michailidis, Georgios
AU - Estevez, Rafael
AU - Parry, Guillaume
AU - Allaire, Grégoire
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Architectured materials are promising to reach extreme properties and ultimately address issues related to lightweight or non conventional properties for bulk materials (eg. high specific rigidity, extremal conductivity or auxetism (negative Poisson's ratio)) [1]. A very efficient way to obtain optimal forms is via inverse homogenization, i.e. using shape and topology optimization techniques in order to achieve target material properties [2]. A great number of publications has been devoted to the design of isotropic materials with extreme properties. Isotropy is usually prescribed via a combination of symmetric planes and penalization techniques, which are quite delicate to handle in an optimization framework. In this work, we present an approach for the design of isotropic multi-materials with extremal conductivity via laminate geometries, consisting in anisotropic phases [3]. More specifically, we design composites with extremal conductivity using rank-1 laminates, composed by two orthotropic phases along parallel layers. The second phase is obtained by a 90-degree rotation of the first one, while their volume fractions are explicitly chosen so that the laminate is isotropic. The orthotropic phases are considered to have their own periodic micro-structure, composed by multiple phases. By optimally distributing the different phases in a periodic cell, we can achieve the Hashin-Shtrikman bounds for the isotropic laminate. We present examples in two dimensions using the level-set method for shape and topology optimization [4].
AB - Architectured materials are promising to reach extreme properties and ultimately address issues related to lightweight or non conventional properties for bulk materials (eg. high specific rigidity, extremal conductivity or auxetism (negative Poisson's ratio)) [1]. A very efficient way to obtain optimal forms is via inverse homogenization, i.e. using shape and topology optimization techniques in order to achieve target material properties [2]. A great number of publications has been devoted to the design of isotropic materials with extreme properties. Isotropy is usually prescribed via a combination of symmetric planes and penalization techniques, which are quite delicate to handle in an optimization framework. In this work, we present an approach for the design of isotropic multi-materials with extremal conductivity via laminate geometries, consisting in anisotropic phases [3]. More specifically, we design composites with extremal conductivity using rank-1 laminates, composed by two orthotropic phases along parallel layers. The second phase is obtained by a 90-degree rotation of the first one, while their volume fractions are explicitly chosen so that the laminate is isotropic. The orthotropic phases are considered to have their own periodic micro-structure, composed by multiple phases. By optimally distributing the different phases in a periodic cell, we can achieve the Hashin-Shtrikman bounds for the isotropic laminate. We present examples in two dimensions using the level-set method for shape and topology optimization [4].
KW - Homogenization
KW - Level-set
KW - Materials
KW - Topology optimization
UR - https://www.scopus.com/pages/publications/84995489546
U2 - 10.7712/100016.2053.5095
DO - 10.7712/100016.2053.5095
M3 - Conference contribution
AN - SCOPUS:84995489546
T3 - ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering
SP - 3534
EP - 3545
BT - ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering
A2 - Stefanou, G.
A2 - Papadrakakis, M.
A2 - Papadopoulos, V.
A2 - Plevris, V.
PB - National Technical University of Athens
T2 - 7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016
Y2 - 5 June 2016 through 10 June 2016
ER -