Volume 15, Issue 4 (11-2025)
IJOCE 2025, 15(4): 543-555 |
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Kamgar R, Rahmani F. GEOMETRICAL AND MATERIAL OPTIMIZATION OF FUNCTIONALLY GRADED DOUBLY-CURVED SHELLS USING THE GREY WOLF OPTIMIZATION ALGORITHM. IJOCE 2025; 15 (4) :543-555
URL: http://ijoce.iust.ac.ir/article-1-654-en.html
URL: http://ijoce.iust.ac.ir/article-1-654-en.html
1- Department of Civil Engineering, Shahrekord University, Shahrekord, Iran
2- Department of Civil Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
2- Department of Civil Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Abstract: (121 Views)
This study investigates the geometrical and material design aspects of functionally graded (FG) doubly-curved shells. The FG material system comprises a combination of metal and ceramic constituents, and the effective properties across the shell thickness are estimated using Voigt’s rule of mixtures. To analyze the structural behaviour, the finite element method is employed within the framework of third-order shear and normal deformation theories. The grey wolf optimization (GWO) algorithm is implemented to achieve design optimization. The objective function aims to minimize both the maximum displacement and the fundamental dimensionless natural frequency in each optimization process individually. The findings indicate that under highly constrained boundary conditions, the curvature parameters remain constant. Conversely, for less constrained conditions, the parameter R2 assumes a value approximately ten times greater than R1.
Keywords: FGM, GWO algorithm, doubly-curved shell, third-order shear and normal deformation theories
Type of Study: Research |
Subject:
Optimal design
Received: 2025/09/23 | Accepted: 2025/11/8 | Published: 2025/11/9
Received: 2025/09/23 | Accepted: 2025/11/8 | Published: 2025/11/9
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