Macroscopically Isotropic and Cubic-Isotropic Two-Material Periodic Structures Constructed by the Inverse-Homogenization Method

Tomasz Mariusz Łukasiak


The present paper deals with the inverse homogenization problem: to reconstruct the layout of two well-ordered elastic and isotropic materials characterized by bulk and shear moduli (j, l) and given volume fraction q, within a 2D periodicity cell, corresponding to the predefined values of the effective isotropic (j*, l*) or cubic symmetry (j*, l*, a*) periodic composites. The algorithm used follows from imposing the finite element approximations on the solutions to the basic cell problems of the homogenization theory. The isotropy or cubic symmetry conditions, usually explicitly introduced into the inverse homogenization formulation, do not appear explicitly, as being fulfilled by the special microstructure construction. The square or hexagonal basic cell with the proper internal symmetry is uniformly divided into finite elements each of different element-wise constant material properties. In order to recover the periodic structure of the assumed properties a variety of composites are constructed with different underlying microstructures i.e. the 1-parameter SIMP-like isotropic mixture and 2nd rank orthogonal laminates.
Author Tomasz Mariusz Łukasiak (FCE / ICE)
Tomasz Mariusz Łukasiak,,
- The Institute of Civil Engineering
Publication size in sheets66.65
Book Schumacher A., Vietor T., Fiebig S., Bletzinger K., Maut K. (eds.): Advances in Structural and Multidisciplinary Optimization :Proceedings of the 12th World Congress of Structural and Multidisciplinary Optimization (WCSMO12), 2018, Springer, ISBN 978-3-319-67987-7, [978-3-319-67988-4], 2115 p., DOI:10.1007/978-3-319-67988-4
Keywords in EnglishFree material design, Homogenization, Inverse homogenization
Languageen angielski
10.1007_978-3-319-67988-4_100.pdf 4.53 MB
Score (nominal)0
Citation count*
Share Share

Get link to the record

* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.