An Efficient Iterative Method for the Formulation of Flow Networks

An Efficient Iterative Method for the Formulation of Flow Networks

Year:    2022

Author:    Wei Hu, Dong Wang, Xiao-Ping Wang

Communications in Computational Physics, Vol. 31 (2022), Iss. 5 : pp. 1317–1340

Abstract

We propose an efficient iterative convolution thresholding method for the formulation of flow networks where the fluid is modeled by the Darcy–Stokes flow with the presence of volume sources. The method is based on the minimization of the dissipation power in the fluid region with a Darcy term. The flow network is represented by its characteristic function and the energy is approximated under this representation. The minimization problem can then be approximately solved by alternating: 1) solving a Brinkman equation to model the Darcy–Stokes flow and 2) updating the characteristic function by a simple convolution and thresholding step. The proposed method is simple and easy to implement. We prove mathematically that the iterative method has the total energy decaying property. Numerical experiments demonstrate the performance and robustness of the proposed method and interesting structures are observed.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2021-0234

Communications in Computational Physics, Vol. 31 (2022), Iss. 5 : pp. 1317–1340

Published online:    2022-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    24

Keywords:    Topology optimization convolution thresholding Darcy–Stokes flow.

Author Details

Wei Hu

Dong Wang

Xiao-Ping Wang

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