Topology optimization of incompressible Navier-Stokes problem by level set based adaptive mesh method

This paper presents a level set based adaptive mesh method for solving the topology optimization of incompressible Navier-Stokes problem. The objective is to minimize the dissipated power in the fluid, subject to the Navier-Stokes problem as state equations with a fluid volume constraint. The material distribution information that implicitly represented via level set function is considered as the design variable, which provides an easy way to construct the refinement indicator. Shape and topology sensitivity analysis suggest the steepest descent direction. By the proposed method, the computational expense is mainly focused near the interfaces, which lead to a significant reduction of the computational cost. Although illustrated by the Navier-Stokes problem, we would like to emphasize that our method is not restricted to this particular situation, it can be applied to a wide range of shape or topology optimization problems arising from the fluid dynamics.

[1]  James K. Guest,et al.  Level set topology optimization of fluids in Stokes flow , 2009 .

[2]  O. Pironneau,et al.  Applied Shape Optimization for Fluids , 2001 .

[3]  P. Colella,et al.  An Adaptive Level Set Approach for Incompressible Two-Phase Flows , 1997 .

[4]  Jan Sokołowski,et al.  Compressible Navier-Stokes Equations: Theory and Shape Optimization , 2012 .

[5]  Chi-Wang Shu,et al.  Efficient Implementation of Weighted ENO Schemes , 1995 .

[6]  S. Osher,et al.  Weighted essentially non-oscillatory schemes , 1994 .

[7]  Danping Peng,et al.  Weighted ENO Schemes for Hamilton-Jacobi Equations , 1999, SIAM J. Sci. Comput..

[8]  J. Petersson,et al.  Topology optimization of fluids in Stokes flow , 2003 .

[9]  Yang Xiang,et al.  An adaptive level set method based on two‐level uniform meshes and its application to dislocation dynamics , 2013 .

[10]  Ronald Fedkiw,et al.  Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.

[11]  D. Tortorelli,et al.  Tangent operators and design sensitivity formulations for transient non‐linear coupled problems with applications to elastoplasticity , 1994 .

[12]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[13]  J. Sethian,et al.  A Fast Level Set Method for Propagating Interfaces , 1995 .

[14]  Takahiko Tanahashi,et al.  Numerical analysis of moving interfaces using a level set method coupled with adaptive mesh refinement , 2004 .

[15]  K. Maute,et al.  Topology optimization of flow domains using the lattice Boltzmann method , 2007 .

[16]  James K. Guest,et al.  Topology optimization of creeping fluid flows using a Darcy–Stokes finite element , 2006 .

[17]  Antonio André Novotny,et al.  Topological Derivatives in Shape Optimization , 2012 .

[18]  S. Amstutz THE TOPOLOGICAL ASYMPTOTIC FOR THE NAVIER-STOKES EQUATIONS , 2005 .

[19]  Xianbao Duan,et al.  Optimal shape control of fluid flow using variational level set method , 2008 .

[20]  M. Bendsøe Optimal shape design as a material distribution problem , 1989 .

[21]  O. Pironneau On optimum profiles in Stokes flow , 1973, Journal of Fluid Mechanics.

[22]  S. Osher,et al.  Regular Article: A PDE-Based Fast Local Level Set Method , 1999 .

[23]  James A. Sethian,et al.  Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid , 2012 .

[24]  Maatoug Hassine,et al.  Optimal shape design for fluid flow using topological perturbation technique , 2009 .

[25]  L. H. Olesen,et al.  A high‐level programming‐language implementation of topology optimization applied to steady‐state Navier–Stokes flow , 2004, physics/0410086.

[26]  M. Bendsøe,et al.  Generating optimal topologies in structural design using a homogenization method , 1988 .

[27]  Qing Li,et al.  A variational level set method for the topology optimization of steady-state Navier-Stokes flow , 2008, J. Comput. Phys..