4.7 Article

Topology optimization of vibrating structures with frequency band constraints

期刊

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
卷 63, 期 3, 页码 1203-1218

出版社

SPRINGER
DOI: 10.1007/s00158-020-02753-7

关键词

Topology optimization; Eigenvalue optimization; Frequency band constraint; Heaviside function

资金

  1. National Natural Science Foundation of China [11802164, U1808215]
  2. Shandong Provincial Natural Science Foundation [ZR2019BEE005]
  3. Key Research & Development Program of Shandong Province [2019GGX104101]
  4. China Postdoctoral Science Foundation

向作者/读者索取更多资源

This paper proposes a new formulation of frequency band constraint based on a modified Heaviside function for topology optimization of engineering structures. The method effectively addresses numerical issues in the optimization process and validates its effectiveness by considering frequency band constraints in optimized results.
Engineering structures usually operate in some specific frequency bands. An effective way to avoid resonance is to shift the structure's natural frequencies out of these frequency bands. However, in the optimization procedure, which frequency orders will fall into these bands are not known a priori. This makes it difficult to use the existing frequency constraint formulations, which require prescribed orders. For solving this issue, a novel formulation of the frequency band constraint based on a modified Heaviside function is proposed in this paper. The new formulation is continuous and differentiable; thus, the sensitivity of the constraint function can be derived and used in a gradient-based optimization method. Topology optimization for maximizing the structural fundamental frequency while circumventing the natural frequencies located in the working frequency bands is studied. For eliminating the frequently happened numerical problems in the natural frequency topology optimization process, including mode switching, checkerboard phenomena, and gray elements, the bound formulation and robust formulation are applied. Three numerical examples, including 2D and 3D problems, are solved by the proposed method. Frequency band gaps of the optimized results are obtained by considering the frequency band constraints, which validates the effectiveness of the developed method.

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