Multi-Objective Topology Optimization of Thin-Plate Structures Based on the Stiffener Size and Layout DOI Open Access
Qin Yin, Jie Guo, Yingzhe Kan

и другие.

Electronics, Год журнала: 2024, Номер 13(24), С. 4968 - 4968

Опубликована: Дек. 17, 2024

To address the limitations of existing optimization methods that focus on single objectives or neglect stiffener features, a multi-objective topology (MOTO) method is proposed based size and layout. By constraining initial structural performance parameters, optimal height determined through optimization. Based height, single-objective used to achieve best material distribution. The width treated as design variable, while MOTO performed load point displacement, first natural frequency, mass, thereby yielding an performance. Finally, multi-dimensional analysis width, dynamic static characteristics stiffened thin-plate structure conducted. results indicate optimized layout considerably improved. Compared structure, maximum average displacements are reduced by 23.26% 8.62%, respectively. frequency increases 3.81%, resonance amplitude overall mass decrease 39.97% 1.99%, achieves lightweight maintaining better stiffness low-frequency vibration resistance. feasibility effectiveness validated.

Язык: Английский

Manifold Learning for Aerodynamic Shape Design Optimization DOI Creative Commons
Boda Zheng, Abhijith Moni, Weigang Yao

и другие.

Aerospace, Год журнала: 2025, Номер 12(3), С. 258 - 258

Опубликована: Март 19, 2025

The significant computational cost incurred due to the iterative nature of Computational Fluid Dynamics (CFD) in traditional aerodynamic shape design frameworks poses a major challenge, especially context modern integrated requirements and increasingly complex conditions. To address demands design, we developed an efficient framework based on our previous work involving locally linear embedding plus constrained optimization genetic algorithm (LLE+COGA) high-fidelity reduced-order model (ROM). An active manifold (AM) auto-en/decoder was employed dimensionality curse arising from excessively large space. fast mesh deformation method utilized for high-precision, rapid deformation, significantly reducing associated with transferring geometric deformations CFD fine mesh. This addressed transonic problem undeflected Common Research Model (uCRM) three-dimensional wing (with aspect ratio 9), 241 variables. results demonstrate that optimized achieved reduction drag coefficient by 38.9% 54.5% compared baseline Case 1 2, respectively. Additionally, total time shortened 62.6% 57.7% two cases. Moreover, outcomes aligned well those obtained FOM-based framework, further validating effectiveness practical applicability proposed approach.

Язык: Английский

Процитировано

0

Multi-Objective Topology Optimization of Thin-Plate Structures Based on the Stiffener Size and Layout DOI Open Access
Qin Yin, Jie Guo, Yingzhe Kan

и другие.

Electronics, Год журнала: 2024, Номер 13(24), С. 4968 - 4968

Опубликована: Дек. 17, 2024

To address the limitations of existing optimization methods that focus on single objectives or neglect stiffener features, a multi-objective topology (MOTO) method is proposed based size and layout. By constraining initial structural performance parameters, optimal height determined through optimization. Based height, single-objective used to achieve best material distribution. The width treated as design variable, while MOTO performed load point displacement, first natural frequency, mass, thereby yielding an performance. Finally, multi-dimensional analysis width, dynamic static characteristics stiffened thin-plate structure conducted. results indicate optimized layout considerably improved. Compared structure, maximum average displacements are reduced by 23.26% 8.62%, respectively. frequency increases 3.81%, resonance amplitude overall mass decrease 39.97% 1.99%, achieves lightweight maintaining better stiffness low-frequency vibration resistance. feasibility effectiveness validated.

Язык: Английский

Процитировано

0