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Dynamic-constrained multi-material topology optimization under heat flux and thermal–mechanical loading
Abstract In practice, the structures are often simultaneously related to thermal and mechanical loads, which can lead to stability failure. Improving the stability of the structures is needed to keep them safe. This study aims to optimize vibration capacity in a thermal environment by using an extended solid isotropic material with penalization (SIMP). The effects of thermal and mechanical loadings are considered simultaneously with dynamic constraints as a first effort that includes heat fluxes around boundaries. The incorporation of heat flux boundary conditions is explored in the multi-physics optimization instead of uniform heating using multi-materials. The results show that the distribution of materials changes significantly when thermal properties are changed. The adjoint method is used to analyze the sensitivity of objective functions, and the method of moving asymptotes (MMA) is employed to update new design variables. The effectiveness and reliability of the proposed method are verified by some examples.
Highlights Extended SIMP to topology optimization for multi-constraints and multi-materials. Maximizing stiffness with dynamic and thermal loading criteria simultaneously. The effect of thermal–mechanical loadings and frequency constraints is discovered.
Dynamic-constrained multi-material topology optimization under heat flux and thermal–mechanical loading
Abstract In practice, the structures are often simultaneously related to thermal and mechanical loads, which can lead to stability failure. Improving the stability of the structures is needed to keep them safe. This study aims to optimize vibration capacity in a thermal environment by using an extended solid isotropic material with penalization (SIMP). The effects of thermal and mechanical loadings are considered simultaneously with dynamic constraints as a first effort that includes heat fluxes around boundaries. The incorporation of heat flux boundary conditions is explored in the multi-physics optimization instead of uniform heating using multi-materials. The results show that the distribution of materials changes significantly when thermal properties are changed. The adjoint method is used to analyze the sensitivity of objective functions, and the method of moving asymptotes (MMA) is employed to update new design variables. The effectiveness and reliability of the proposed method are verified by some examples.
Highlights Extended SIMP to topology optimization for multi-constraints and multi-materials. Maximizing stiffness with dynamic and thermal loading criteria simultaneously. The effect of thermal–mechanical loadings and frequency constraints is discovered.
Dynamic-constrained multi-material topology optimization under heat flux and thermal–mechanical loading
Nguyen, Minh-Ngoc (author) / Kang, Joowon (author) / Shin, Soomi (author) / Lee, Dongkyu (author)
Thin-Walled Structures ; 193
2023-09-18
Article (Journal)
Electronic Resource
English
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