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12.06.2019 | Research Paper

A novel subdomain level set method for structural topology optimization and its application in graded cellular structure design

Zeitschrift:
Structural and Multidisciplinary Optimization
Autoren:
Hui Liu, Hongming Zong, Ye Tian, Qingping Ma, Michael Yu Wang
Wichtige Hinweise
Responsible Editor: Ole Sigmund

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s00158-019-02318-3) contains supplementary material, which is available to authorized users.

Abstract

A novel subdomain structural topology optimization method is proposed for the minimum compliance problem based on the level sets with the parameterization of radial basis function (RBF). In this method, the level set function evolves on each subdomain separately and independently according to the requirements of objective functions and additional constraints. This makes the parameterization in the proposed subdomain method much faster and more cost-effective than that in the classical global method, as well as the evolution of the level set function since it can be achieved on each subdomain in parallel. In addition, the microstructures on arbitrary two adjacent subdomains can be connected perfectly, without any mismatch around the interfaces of the microstructures. Several typical examples are conducted to verify the correctness and effectiveness of the developed subdomain method. The effects of some factors on the optimized results are also investigated in detail, such as the RBF types, the connectivity types of microstructures, and the size of subdomain division. Without scale separation assumption, several layered graded cellular structures are successfully designed by employing the proposed method under the condition of corresponding repetition constraints. To improve the computational efficiency, a multi-node extended multiscale finite element method (EMsFEM) is used to solve the structural static equilibrium equation for the three-dimensional layered structure optimization problems. Furthermore, a MATLAB code is also provided in the Appendix for readers to reproduce the results of the two-dimensional problems in this work.

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Zusatzmaterial
ESM 1 (M 8 kb)
158_2019_2318_MOESM1_ESM.m
ESM 2 (M 8 kb)
158_2019_2318_MOESM2_ESM.m
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