Year: 2022
Author: Huangxin Chen, Haitao Leng, Dong Wang, Xiao-Ping Wang
CSIAM Transactions on Applied Mathematics, Vol. 3 (2022), Iss. 1 : pp. 26–56
Abstract
We propose an efficient threshold dynamics method for topology optimization for fluids modeled with the Stokes equation. The proposed algorithm is based on minimization of an objective energy function that consists of the dissipation power in the fluid and the perimeter approximated by nonlocal energy, subject to a fluid volume constraint and the incompressibility condition. We show that the minimization problem can be solved with an iterative scheme in which the Stokes equation is approximated by a Brinkman equation. The indicator functions of the fluid-solid regions are then updated according to simple convolutions followed by a thresholding step. We prove mathematically that the iterative algorithm has the total energy decaying property. The proposed algorithm is simple and easy to implement. Extensive numerical experiments in both two and three dimensions show that the proposed iteration algorithm converges in much fewer iterations and is more efficient than many existing methods. In addition, the numerical results show that the algorithm is very robust and insensitive to the initial guess and the parameters in the model.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/csiam-am.SO-2021-0007
CSIAM Transactions on Applied Mathematics, Vol. 3 (2022), Iss. 1 : pp. 26–56
Published online: 2022-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 31
Keywords: Topology optimization Stokes flow threshold dynamics method mixed finite-element method.
Author Details
-
A prediction-correction based iterative convolution-thresholding method for topology optimization of heat transfer problems
Chen, Huangxin | Dong, Piaopiao | Wang, Dong | Wang, Xiao-PingJournal of Computational Physics, Vol. 511 (2024), Iss. P.113119
https://doi.org/10.1016/j.jcp.2024.113119 [Citations: 0] -
The iterative convolution–thresholding method (ICTM) for image segmentation
Wang, Dong | Wang, Xiao-PingPattern Recognition, Vol. 130 (2022), Iss. P.108794
https://doi.org/10.1016/j.patcog.2022.108794 [Citations: 24]