Level set topology optimization for design-dependent pressure loads using the reproducing kernel particle method

被引:0
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作者
Andreas Neofytou
Renato Picelli
Tsung-Hui Huang
Jiun-Shyan Chen
H. Alicia Kim
机构
[1] Cardiff University,Cardiff School of Engineering
[2] University of São Paulo,Department of Mining and Petroleum Engineering
[3] University of California,Structural Engineering Department
关键词
Topology optimization; Level set method; Design-dependent pressure load; Reproducing kernel particle method;
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学科分类号
摘要
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.
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页码:1805 / 1820
页数:15
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