Pai Liu1,*, Weida Wu1, Yangjun Luo1, Yifan Zhang1
The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09893
Abstract Lightweight metamaterials with negative Poisson’s ratios (NPRs) have great potential for controlling
deformation, absorbing energy, etc. The topology optimization [1] technique is an effective way to design
metamaterials. However, as studied in [2], the NPR metamaterial configuration obtained under small
deformation assumption may not maintain the desired Poisson’s ratio under relatively large deformation
conditions. This paper focuses on the large-deformation NPR metamaterial design based on a gradient-free
topology optimization method, i.e. the material-field series expansion (MFSE) method [3]. The
metamaterial’s performance is evaluated using the finite element method, taking into account the geometry
nonlinearity. By considering the spatial correlation of… More >
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