Stochastic topology optimization based on level-set method

Yuki Hidaka (Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan)
Takahiro Sato (Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan)
Kota Watanabe (Graduate School of Engineering, Muroran Institute of Technology, Muroran, Japan)
Hajime Igarashi (Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan)

Abstract

Purpose

Conventional level-set method tends to fall into local optima because optimization is conducted based on gradient method. The purpose of this paper is to develop a novel topology optimization in which simulated annealing (SA) is introduced to overcome the difficulties in level-set method.

Design/methodology/approach

Level-set based topology optimization for two-dimensional optimization problem.

Findings

It is shown in the numerical examples, where conventional and present methods are applied to shape optimization of ferrite inductor and Interior Permanent Magnetic (IPM)-motor, the present method can find solutions with better performance than those obtained by the conventional method.

Originality/value

SA is introduced to improve the search performances of level-set method.

Keywords

Citation

Hidaka, Y., Sato, T., Watanabe, K. and Igarashi, H. (2014), "Stochastic topology optimization based on level-set method", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 33 No. 6, pp. 1904-1919. https://doi.org/10.1108/COMPEL-11-2013-0375

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Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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