We present a topology optimization method for the Stokes problem under multiple flow cases by an improved level set method. In the framework of level set method, an implicit reinitialization approach is developed by deriving a new formula for the smoothing parameter in the conventional reinitialization equation. And a spline-free parameterization re-meshing method is adopted to overcome the convergence difficulty in flow analysis and guarantee the direct loading of the no-slip boundary condition. The topology optimization method developed in this paper is used to implement the optimal design for Stokes flow with the different boundary conditions. Numerical examples demonstrate that the proposed approach is effective and robust for the topology optimization of Stokes problem under multiple flow cases.
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ASME 2013 Fluids Engineering Division Summer Meeting
July 7–11, 2013
Incline Village, Nevada, USA
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-5554-6
PROCEEDINGS PAPER
Topology Optimization for Stokes Problem Under Multiple Flow Cases Using an Improved Level Set Method
Bin Zhang,
Bin Zhang
Xi’an Jiaotong University, Xi’an, Shaanxi, China
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Xiaomin Liu,
Xiaomin Liu
Xi’an Jiaotong University, Xi’an, Shaanxi, China
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Jinju Sun
Jinju Sun
Xi’an Jiaotong University, Xi’an, Shaanxi, China
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Bin Zhang
Xi’an Jiaotong University, Xi’an, Shaanxi, China
Xiaomin Liu
Xi’an Jiaotong University, Xi’an, Shaanxi, China
Jinju Sun
Xi’an Jiaotong University, Xi’an, Shaanxi, China
Paper No:
FEDSM2013-16155, V01AT02A003; 10 pages
Published Online:
December 13, 2013
Citation
Zhang, B, Liu, X, & Sun, J. "Topology Optimization for Stokes Problem Under Multiple Flow Cases Using an Improved Level Set Method." Proceedings of the ASME 2013 Fluids Engineering Division Summer Meeting. Volume 1A, Symposia: Advances in Fluids Engineering Education; Advances in Numerical Modeling for Turbomachinery Flow Optimization; Applications in CFD; Bio-Inspired Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES, and Hybrid RANS/LES Methods. Incline Village, Nevada, USA. July 7–11, 2013. V01AT02A003. ASME. https://doi.org/10.1115/FEDSM2013-16155
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