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research-article

Topology optimization of unsteady flow problems using the lattice Boltzmann method

Authors:

Sebastian Nørgaard,

Boyan LazarovAuthors Info & Claims

Journal of Computational Physics, Volume 307, Issue C

Pages 291 - 307

https://doi.org/10.1016/j.jcp.2015.12.023

Published: 15 February 2016 Publication History

Abstract

This article demonstrates and discusses topology optimization for unsteady incompressible fluid flows. The fluid flows are simulated using the lattice Boltzmann method, and a partial bounceback model is implemented to model the transition between fluid and solid phases in the optimization problems. The optimization problem is solved with a gradient based method, and the design sensitivities are computed by solving the discrete adjoint problem. For moderate Reynolds number flows, it is demonstrated that topology optimization can successfully account for unsteady effects such as vortex shedding and time-varying boundary conditions. Such effects are relevant in several engineering applications, i.e. fluid pumps and control valves.

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Cited By

Yuan RWu L(2024)A design optimization method for rarefied and continuum gas flowsJournal of Computational Physics10.1016/j.jcp.2024.113366517:COnline publication date: 15-Nov-2024
https://dl.acm.org/doi/10.1016/j.jcp.2024.113366
Guo ZSu HLi XWang Y(2023)Multi-resolution topology optimization using B-spline to represent the density fieldAdvances in Engineering Software10.1016/j.advengsoft.2023.103478182:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.advengsoft.2023.103478
Tanabe YYaji KUshijima K(2023)Topology optimization using the lattice Boltzmann method for unsteady natural convection problemsStructural and Multidisciplinary Optimization10.1007/s00158-023-03522-y66:5Online publication date: 13-Apr-2023
https://dl.acm.org/doi/10.1007/s00158-023-03522-y
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Topology optimization of unsteady flow problems using the lattice Boltzmann method

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Published In

cover image Journal of Computational Physics

Journal of Computational Physics Volume 307, Issue C

February 2016

730 pages

ISSN:0021-9991

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Copyright © Elsevier Inc.

Publisher

Academic Press Professional, Inc.

United States

Publication History

Published: 15 February 2016

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Cited By

Yuan RWu L(2024)A design optimization method for rarefied and continuum gas flowsJournal of Computational Physics10.1016/j.jcp.2024.113366517:COnline publication date: 15-Nov-2024
https://dl.acm.org/doi/10.1016/j.jcp.2024.113366
Guo ZSu HLi XWang Y(2023)Multi-resolution topology optimization using B-spline to represent the density fieldAdvances in Engineering Software10.1016/j.advengsoft.2023.103478182:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.advengsoft.2023.103478
Tanabe YYaji KUshijima K(2023)Topology optimization using the lattice Boltzmann method for unsteady natural convection problemsStructural and Multidisciplinary Optimization10.1007/s00158-023-03522-y66:5Online publication date: 13-Apr-2023
https://dl.acm.org/doi/10.1007/s00158-023-03522-y
Yodono TYaji KYamada TFuruta KIzui KNishiwaki S(2022)Topology optimization for the elastic field using the lattice Boltzmann methodComputers & Mathematics with Applications10.1016/j.camwa.2022.01.032110:C(123-134)Online publication date: 15-Mar-2022
https://dl.acm.org/doi/10.1016/j.camwa.2022.01.032
Galanos NPapoutsis-Kiachagias EGiannakoglou KKondo YTanimoto K(2022)Synergistic use of adjoint-based topology and shape optimization for the design of Bi-fluid heat exchangersStructural and Multidisciplinary Optimization10.1007/s00158-022-03330-w65:9Online publication date: 18-Aug-2022
https://dl.acm.org/doi/10.1007/s00158-022-03330-w
Alonso DRomero Saenz JPicelli RSilva E(2022)Topology optimization method based on the Wray–Agarwal turbulence modelStructural and Multidisciplinary Optimization10.1007/s00158-021-03106-865:3Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1007/s00158-021-03106-8
Alonso DGarcia Rodriguez LSilva E(2021)Flexible framework for fluid topology optimization with OpenFOAM® and finite element-based high-level discrete adjoint method (FEniCS/dolfin-adjoint)Structural and Multidisciplinary Optimization10.1007/s00158-021-03061-464:6(4409-4440)Online publication date: 1-Dec-2021
https://dl.acm.org/doi/10.1007/s00158-021-03061-4
Alonso DSilva E(2021)Topology optimization for blood flow considering a hemolysis modelStructural and Multidisciplinary Optimization10.1007/s00158-020-02806-x63:5(2101-2123)Online publication date: 15-Mar-2021
https://dl.acm.org/doi/10.1007/s00158-020-02806-x
Makhija DBeran P(2020)Concurrent shape and topology optimization for unsteady conjugate heat transferStructural and Multidisciplinary Optimization10.1007/s00158-020-02554-y62:3(1275-1297)Online publication date: 1-Sep-2020
https://dl.acm.org/doi/10.1007/s00158-020-02554-y
Sato AYamada TIzui KNishiwaki STakata S(2019)A topology optimization method in rarefied gas flow problems using the Boltzmann equationJournal of Computational Physics10.1016/j.jcp.2019.06.022395:C(60-84)Online publication date: 15-Oct-2019
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