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Volume 38, Issue 2
Energy Stable Gradient Flow Schemes for Shape and Topology Optimization in Navier-Stokes Flows

Jiajie Li & Shengfeng Zhu

DOI: 10.4208/cicp.OA-2024-0290

Commun. Comput. Phys., 38 (2025), pp. 404-438.

Published online: 2025-08

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  • Abstract

We study topology optimization governed by the incompressible Navier-Stokes equations using a phase field model. Unconditional energy stability is shown for the gradient flow in continuous space. The novel generalized stabilized semi-implicit schemes for the gradient flow in first-order time discretization of Allen-Cahn and Cahn-Hilliard types are proposed to solve the resulting optimal control problem. With the Lipschitz continuity for state and adjoint variables, the energy stability for time and full discretization has been proved rigorously on the condition that the stabilized parameters are larger than specific values. The proposed gradient flow scheme can work with large time steps and exhibits a constant coefficient system in full discretization, which can be solved efficiently. Numerical examples in 2d and 3d show the effectiveness and robustness of the optimization algorithms proposed.

  • Keywords

Topology optimization, incompressible Navier-Stokes equations, stabilized gradient flow, energy stability, phase field method.

  • AMS Subject Headings

76D55, 49M05, 65M12, 76D05

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{CiCP-38-404, author = {Li , Jiajie and Zhu , Shengfeng}, title = {Energy Stable Gradient Flow Schemes for Shape and Topology Optimization in Navier-Stokes Flows}, journal = {Communications in Computational Physics}, year = {2025}, volume = {38}, number = {2}, pages = {404--438}, abstract = {

We study topology optimization governed by the incompressible Navier-Stokes equations using a phase field model. Unconditional energy stability is shown for the gradient flow in continuous space. The novel generalized stabilized semi-implicit schemes for the gradient flow in first-order time discretization of Allen-Cahn and Cahn-Hilliard types are proposed to solve the resulting optimal control problem. With the Lipschitz continuity for state and adjoint variables, the energy stability for time and full discretization has been proved rigorously on the condition that the stabilized parameters are larger than specific values. The proposed gradient flow scheme can work with large time steps and exhibits a constant coefficient system in full discretization, which can be solved efficiently. Numerical examples in 2d and 3d show the effectiveness and robustness of the optimization algorithms proposed.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2024-0290}, url = {http://global-sci.org/intro/article_detail/cicp/24303.html} }
TY - JOUR T1 - Energy Stable Gradient Flow Schemes for Shape and Topology Optimization in Navier-Stokes Flows AU - Li , Jiajie AU - Zhu , Shengfeng JO - Communications in Computational Physics VL - 2 SP - 404 EP - 438 PY - 2025 DA - 2025/08 SN - 38 DO - http://doi.org/10.4208/cicp.OA-2024-0290 UR - https://global-sci.org/intro/article_detail/cicp/24303.html KW - Topology optimization, incompressible Navier-Stokes equations, stabilized gradient flow, energy stability, phase field method. AB -

We study topology optimization governed by the incompressible Navier-Stokes equations using a phase field model. Unconditional energy stability is shown for the gradient flow in continuous space. The novel generalized stabilized semi-implicit schemes for the gradient flow in first-order time discretization of Allen-Cahn and Cahn-Hilliard types are proposed to solve the resulting optimal control problem. With the Lipschitz continuity for state and adjoint variables, the energy stability for time and full discretization has been proved rigorously on the condition that the stabilized parameters are larger than specific values. The proposed gradient flow scheme can work with large time steps and exhibits a constant coefficient system in full discretization, which can be solved efficiently. Numerical examples in 2d and 3d show the effectiveness and robustness of the optimization algorithms proposed.

Li , Jiajie and Zhu , Shengfeng. (2025). Energy Stable Gradient Flow Schemes for Shape and Topology Optimization in Navier-Stokes Flows. Communications in Computational Physics. 38 (2). 404-438. doi:10.4208/cicp.OA-2024-0290
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