Salehian, Mortaza, Ovesy, Hamid Reza, Dabiryan, Hadi. (1405). Nonlinear Free Vibration Optimization of 2D Tri-axial Braided Composite Fan Blade via ANN, Analytical, FEM, and GA Combined Approach. نشریه مهندسی عمران امیرکبیر, 10(3), 353-378. doi: 10.22060/ajme.2026.25311.6264
Mortaza Salehian; Hamid Reza Ovesy; Hadi Dabiryan. "Nonlinear Free Vibration Optimization of 2D Tri-axial Braided Composite Fan Blade via ANN, Analytical, FEM, and GA Combined Approach". نشریه مهندسی عمران امیرکبیر, 10, 3, 1405, 353-378. doi: 10.22060/ajme.2026.25311.6264
Salehian, Mortaza, Ovesy, Hamid Reza, Dabiryan, Hadi. (1405). 'Nonlinear Free Vibration Optimization of 2D Tri-axial Braided Composite Fan Blade via ANN, Analytical, FEM, and GA Combined Approach', نشریه مهندسی عمران امیرکبیر, 10(3), pp. 353-378. doi: 10.22060/ajme.2026.25311.6264
Salehian, Mortaza, Ovesy, Hamid Reza, Dabiryan, Hadi. Nonlinear Free Vibration Optimization of 2D Tri-axial Braided Composite Fan Blade via ANN, Analytical, FEM, and GA Combined Approach. نشریه مهندسی عمران امیرکبیر, 1405; 10(3): 353-378. doi: 10.22060/ajme.2026.25311.6264

Nonlinear Free Vibration Optimization of 2D Tri-axial Braided Composite Fan Blade via ANN, Analytical, FEM, and GA Combined Approach

AUT Journal of Mechanical Engineering
مقاله 6، دوره 10، شماره 3، پاییز 2026، صفحه 353-378    اصل مقاله (2.58 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/ajme.2026.25311.6264
نویسندگان
Mortaza Salehian1؛ Hamid Reza Ovesy* 1؛ Hadi Dabiryan2
1Department of Aerospace Engineering, Amirkabir University of Technology, Tehran, Iran
2Department of Textile Engineering, Amirkabir University of Technology, Tehran, Iran
چکیده
This research aims to enhance the hardening behavior of a non-rotating 2D tri-axial braided composite (2DTBC) fan blade, through investigating the backbone curve characteristics. This enhancement raises the blade’s natural frequencies at large oscillation amplitudes, thereby delaying the onset of resonance. A combination of different methods has been employed, including an Artificial Neural Network (ANN), an analytical method, the finite element method (FEM), and a single-objective genetic algorithm (GA). The ANN was used to establish the relationship between the braiding machine parameters and the structural characteristics of the braided fabric. Micromechanical modeling was utilized to determine the mechanical properties of the braided composite. Based on the first-order shear deformation theory (FSDT), the nonlinear free vibration partial differential equations of the composite blade shell were derived using Hamilton's principle. The FEM was employed to solve the differential equations and obtain the corresponding backbone curves. Finally, a single-objective genetic algorithm was deployed to optimize the braided composite structure in order to increase the hardening behavior of the blade. The obtained results demonstrate the viability of the proposed approach. The results indicate that the hardening behavior has increased by a factor of 6.8 compared to the non-optimized case.
کلیدواژه‌ها
Tri-axial braided؛ braiding angle and space؛ artificial neural network؛ nonlinear vibration؛ backbone curve
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