Energy stable gradient flow schemes for shape and topology optimization in Navier-Stokes flows

Jiajie Li, Shengfeng Zhu
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Abstract

We study topology optimization governed by the incompressible Navier-Stokes flows using a phase field model. Novel stabilized semi-implicit schemes for the gradient flows of Allen-Cahn and Cahn-Hilliard types are proposed for solving the resulting optimal control problem. Unconditional energy stability is shown for the gradient flow schemes in continuous and discrete spaces. Numerical experiments of computational fluid dynamics in 2d and 3d show the effectiveness and robustness of the optimization algorithms proposed.
纳维-斯托克斯流中形状和拓扑优化的能量稳定梯度流方案
我们利用相场模型研究了不可压缩纳维-斯托克斯流的拓扑优化问题。我们提出了 Allen-Cahn 和 Cahn-Hilliard 两种梯度流的新型稳定半隐式方案,用于求解由此产生的最优控制问题。显示了梯度流方案在连续和离散空间中的无条件能量稳定性。二维和三维计算流体力学的数值实验表明了所提出的优化算法的有效性和稳健性。
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