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Research Article | Open Access

A parameterized level set method for structural topology optimization based on reaction diffusion equation and fuzzy PID control algorithm

Mingtao Cui1,2,3( )Min Pan1Jie Wang1Pengjie Li1
School of Mechano-electronic Engineering, Xidian University, Xi'an, 710071, China
Shaanxi Key Laboratory of Space Extreme Detection, Xi'an, 710071, China
Department of Mechanical Engineering, McGill University, Montreal H3A 2K6, QC, Canada
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Abstract

We propose a parameterized level set method (PLSM) for structural topology optimization based on reaction diffusion equation (RDE) and fuzzy PID control algorithm. By using the proposed method, the structural compliance minimization problem under volume constraints is studied. In this work, the RDE is used as the evolution equation of level set function, and the topological derivative of the material domain is used as the reaction term of the RDE to drive the evolution of level set function, which has little dependence on the initial design domain, and can generate holes in the material domain; the compactly supported radial basis function (CS-RBF) is used to interpolate the level set function and modify the RDE, which can improve the computational efficiency, and keep the boundary smooth in the optimization process. Meanwhile, the fuzzy PID control algorithm is used to deal with the volume constraints, so that the convergence process of the structure volume is relatively stable. Furthermore, the proposed method is applied to 3D structural topology optimization. Several typical numerical examples are provided to demonstrate the feasibility and effectiveness of this method.

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Electronic Research Archive
Pages 2568-2599

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Cite this article:
Cui M, Pan M, Wang J, et al. A parameterized level set method for structural topology optimization based on reaction diffusion equation and fuzzy PID control algorithm. Electronic Research Archive, 2022, 30(7): 2568-2599. https://doi.org/10.3934/era.2022132

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Received: 17 November 2021
Revised: 22 April 2022
Accepted: 05 May 2022
Published: 15 July 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)