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Level set topology optimization for fluid-structure interactions

Neofytou, Andreas, Yu, Feimi, Zhang, Lucy and Kim, H. Alicia 2022. Level set topology optimization for fluid-structure interactions. Presented at: AIAA SCITECH 2022 Forum, Virtual, 03-07 January 2022. AIAA SCITECH 2022 Forum. Aerospace Reseach Central, 10.2514/6.2022-2091

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In this work a level set topology optimization (LSTO) method is developed in combination with the modified immersed finite element method (mIFEM) and the meshfree reproducing kernel particle method (RKPM) to solve topology optimization problems in fluid-structure interaction (FSI). With mIFEM, the coupled equations can be solved efficiently on a fixed fluid grid and the solid on top of the fluid is free to move and deform thus avoiding remeshing for the fluid. The LSTO defines the geometry of the structure and the solid domain is analyzed using RKPM with the naturally stabilized nodal integration technique (NSNI) for domain integration. The proposed methodology poses several useful features including the capability of modularity in the solvers, a clear interface representation onto the computational domain, and the ability to handle straightforwardly the topological changes without the need for remseshing. A particlebased discrete adjoint approach is presented for sensitivity computation. Additionally, an algorithm is developed for identifying and removing free-floating volumes of solid material in the fluid region. Steady-state benchmarking problems are studied and comparison with the literature is provided as a validation of the presented study.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Aerospace Reseach Central
ISBN: 9781624106316
Last Modified: 10 Jun 2023 01:59

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