Dynamic response analysis and optimization of orbital support structure

In order to further enhance the stability of the orbital transportation, the modal characteristics of the orbital support structure were simulated and analyzed. The multi-objective optimization method was applied to design the structure for lightweighting while increasing the first-order natural frequency and reducing the stress peak. Using ANSYS Workbench, the parametric finite element model was established, the length of the intermediate support rod, and the lateral length of the rib were regarded as the parameterized dimensions. Through dynamic characteristic analysis, the natural frequencies, modal shapes, and harmonic response characteristics were obtained. Parametric samples were obtained by using Latin square method, and the approximate model was fitted by polynomial function. Multi-Objective Genetic Algorithm and Sequential Quadratic Programming were applied for optimization calculation. The results indicate that the structurally lightened design can attain higher strength and stiffness.

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Publication Details

Journal
Vibroengineering PROCEDIA
Published
2024-12-12
DOI
https://doi.org/10.21595/vp.2024.24616
Primary Topic
Manufacturing Process and Optimization
Type
article
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article

Dynamic response analysis and optimization of orbital support structure

Xin Han, Jinping Chi
Vibroengineering PROCEDIA
Manufacturing Process and Optimization
article

Dynamic response analysis and optimization of orbital support structure

Xin Han, Jinping Chi
article en

Abstract

In order to further enhance the stability of the orbital transportation, the modal characteristics of the orbital support structure were simulated and analyzed. The multi-objective optimization method was applied to design the structure for lightweighting while increasing the first-order natural frequency and reducing the stress peak. Using ANSYS Workbench, the parametric finite element model was established, the length of the intermediate support rod, and the lateral length of the rib were regarded as the parameterized dimensions. Through dynamic characteristic analysis, the natural frequencies, modal shapes, and harmonic response characteristics were obtained. Parametric samples were obtained by using Latin square method, and the approximate model was fitted by polynomial function. Multi-Objective Genetic Algorithm and Sequential Quadratic Programming were applied for optimization calculation. The results indicate that the structurally lightened design can attain higher strength and stiffness.

Vibroengineering PROCEDIAVol. 57
Yantai Automobile Engineering Professional College (CN)
Openalex Percentile: Top 66%
Manufacturing Process and Optimization
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