Numerical Shape Optimization of an Isothermal Compressible Navier–Stokes Flow

Keyang Zhang (), Jiajie Li () and Shengfeng Zhu ()
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Keyang Zhang: East China Normal University
Jiajie Li: Shanghai Jiao Tong University
Shengfeng Zhu: East China Normal University

Journal of Optimization Theory and Applications, 2025, vol. 205, issue 2, No 16, 25 pages

Abstract: Abstract We consider numerical shape optimization of a compressible isothermal fluid model. The constrained system involves regularized compressible isothermal Navier–Stokes equations. The distributed and boundary type of shape gradients for objective functions (such as inverse problem, and energy dissipation power type) are derived via the adjoint method. The regularized Navier–Stokes equations are discretized with mixed finite element method and solved by the Leray-Schauder fixed point iterative scheme. Numerical results are presented to illustrate the effectiveness of the optimization algorithm proposed.

Keywords: Shape optimization; Compressible Navier–Stokes equation; Finite element; Shape gradient; 49M41; 49K20; 76N06; 76N25 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10957-025-02634-3

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