TY - JOUR
T1 - Design of materials using hybrid cellular automata
AU - Da, D. C.
AU - Chen, J. H.
AU - Cui, X. Y.
AU - Li, G. Y.
N1 - Publisher Copyright:
© 2017, Springer-Verlag Berlin Heidelberg.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - This paper presents a new approach for the topological design of materials with extreme properties. The method is based on hybrid cellular automaton (HCA), which is an implicit optimization technique that uses local rules to update design variables iteratively until meeting the described optimality conditions. By means of an energy-based homogenization approach, the effective properties of the considered material are calculated in terms of element mutual energies. By this method, no sensitivity information is required to find the optimal topology for the considered design objectives: bulk modulus, shear modulus, and negative Poisson’s ratio. The proposed method is validated by a series of numerical examples.
AB - This paper presents a new approach for the topological design of materials with extreme properties. The method is based on hybrid cellular automaton (HCA), which is an implicit optimization technique that uses local rules to update design variables iteratively until meeting the described optimality conditions. By means of an energy-based homogenization approach, the effective properties of the considered material are calculated in terms of element mutual energies. By this method, no sensitivity information is required to find the optimal topology for the considered design objectives: bulk modulus, shear modulus, and negative Poisson’s ratio. The proposed method is validated by a series of numerical examples.
KW - Homogenization
KW - Hybrid cellular automata
KW - Material design
KW - Topology optimization
UR - http://www.scopus.com/inward/record.url?scp=85010736795&partnerID=8YFLogxK
U2 - 10.1007/s00158-017-1652-1
DO - 10.1007/s00158-017-1652-1
M3 - Article
AN - SCOPUS:85010736795
SN - 1615-147X
VL - 56
SP - 131
EP - 137
JO - Structural and Multidisciplinary Optimization
JF - Structural and Multidisciplinary Optimization
IS - 1
ER -