4.5 Article

Sensitivity Analysis of Key Formulations of Topology Optimization on an Example of Cantilever Bending Beam

期刊

SYMMETRY-BASEL
卷 13, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/sym13040712

关键词

topology optimization; optimization; filtering; method; penalization; weight factor; FEM; MATLAB; SIMP

资金

  1. Ministry of Education, Youth and Sports from the Specific Research Project [SP2021/66]
  2. Technology Agency of the Czech Republic [TN01000024]
  3. European Union [CZ.02.1.01/0.0/0.0/17_049/0008407]
  4. European Regional Development Fund (Centre of Excellence for Nonlinear Dynamic Behaviour of Advanced Materials in Engineering) [CZ.02.1.01/0.0/0.0/15_003/0000493, RVO:61388998]

向作者/读者索取更多资源

Topology optimization is a modern approach aimed at maximizing the performance of a system's design. This paper focuses on sensitivity analysis of key formulations using MATLAB software, specifically examining a cantilever bending task.
Topology optimization is a modern method for optimizing the material distribution in a given space, automatically searching for the ideal design of the product. The method aims to maximize the design performance of the system regarding given conditions. In engineering practice, a given space is first described using the finite element method and, subsequently, density-based method with solid isotropic material with penalty. Then, the final shape is found using a gradient-based method, such as the optimality criteria algorithm. However, obtaining the ideal shape is highly dependent on the correct setting of numerical parameters. This paper focuses on the sensitivity analysis of key formulations of topology optimization using the implementation of mathematical programming techniques in MATLAB software. For the purposes of the study, sensitivity analysis of a simple spatial task-cantilever bending-is performed. This paper aims to present the formulations of the optimization problem-in this case, minimization of compliance. It should be noted that this paper does not present any new mathematical formulas but rather provides an introduction into the mathematical theory (including filtering methods and calculating large-size problems using the symmetry of matrices) as well as a step-by step guideline for the minimization of compliance within the density-based topology optimization and search for an optimal shape. The results can be used for complex commercial applications produced by traditional manufacturing processes or by additive manufacturing methods.

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