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Topological Derivative-Based Optimization of Micro-Structures Considering Different Multi-Scale Models

E.A. de Souza Neto1, S. Amstutz2, S.M. Giusti3, A.A. Novotny3

Civil and Computational Engineering Centre, School of Engineering, Swansea University, Singleton Park, Swansea SA28PP, UK.
Laboratoire d’analyse non-linéaire et géométrie, Faculté des sciences 33, rue Louis Pasteur 84000 Avignon, France.
Laboratório Nacional de Computação Científica LNCC/MCT, Coordenação de Matemática Aplicada e Computacional, Av. Getúlio Vargas 333, 25651-075, Petrópolis - RJ, Brasil. {giusti, novotny}

Computer Modeling in Engineering & Sciences 2010, 62(1), 23-56.


A recently proposed algorithm for micro-structural optimization, based on the concept of topological derivative and a level-set domain representation, is applied to the synthesis of elastic and heat conducting bi-material micro-structures. The macroscopic properties are estimated by means of a family of multi-scale constitutive theories where the macroscopic strain and stress tensors (temperature gradient and heat flux vector in the heat conducting case) are defined as volume averages of their microscopic counterparts over a Representative Volume Element (RVE). Several finite element-based examples of micro-structural optimization are presented. Three multi-scale models, providing an upper and a lower bound for the macroscopic properties as well as the classical periodic medium solution, are considered in the optimization process. These models differ only in the kinematical constraints (thermal constraints in the heat conducting case) imposed on the RVE. The examples show that, in general, the obtained optimum micro-structure topology depends on the particular model adopted.


Cite This Article

De, E., Amstutz, S., Giusti, S., Novotny, A. (2010). Topological Derivative-Based Optimization of Micro-Structures Considering Different Multi-Scale Models. CMES-Computer Modeling in Engineering & Sciences, 62(1), 23–56.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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