Abstract

This paper presents a level set topology optimization method in combination with the reproducing kernel particle method (RKPM) for the design of structures subjected to design-dependent pressure loads. RKPM allows for arbitrary particle placement in discretization and approximation of unknowns. This attractive property in combination with the implicit boundary representation given by the level set method provides an effective framework to handle the design-dependent loads by moving the particles on the pressure boundary without the need of remeshing or special numerical treatments. Moreover, the reproducing kernel (RK) smooth approximation allows for the Young’s modulus to be interpolated using the RK shape functions. This is another advantage of the proposed method as it leads to a smooth Young’s modulus distribution for smooth boundary sensitivity calculation which yields a better convergence. Numerical results show good agreement with those in the literature.

Highlights

  • Design-dependent loading of interest in this paper is the surface loads such as pressure acting on the boundaries of the structure

  • This paper presents a numerical scheme for level set topology optimization for design-dependent pressure loads with meshfree reproducing kernel particle method (RKPM)

  • This paper presented a new level set topology optimization method with RKPM for compliance minimization of structures subjected to design-dependent pressure loads

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Summary

Introduction

Design-dependent loading of interest in this paper is the surface loads such as pressure acting on the boundaries of the structure. Sivapuram and Picelli (2017) recently created the topology optimization of binary structure (TOBS) method and applied a similar approach to solve for a design-dependent fluid pressure problem. Emmendoerfer et al (2018) proposed a level set topology optimization in which the surface loads acting on the moving boundary are transformed into work-equivalent nodal forces to solve pressure loading problems with level set topology optimization and a fixed grid. Luo et al (2012) combined the parametric level set topology optimization method with a meshfree analysis approach based on the compactly supported basis functions (CSRBFs). This paper presents a numerical scheme for level set topology optimization for design-dependent pressure loads with meshfree RKPM.

Level set topology optimization method
Reproducing kernel particle method
Reproducing kernel approximation
Galerkin approximation and formulation
Compliance minimization problem
Particle placement
Boundary sensitivities
Numerical examples
Cantilever beam
Arch structure
Piston head model
Pressure chamber model
Conclusions
Compliance with ethical standards
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