بهينه سازي و مطالعه فركانس هاي طبيعي و بارهاي كمانش بحراني تير پنج لايه نانو كامپوزيتي متشكل از آلومينيوم- پنج درصد حجمي كربيد سيليسيوم ، آلومينيوم- پنج درصد حجمي كربيد بور و آلومينيوم- پنج درصد حجمي اكسيد سيليسيوم

In this study, natural frequencies and critical buckling loads of optimized and simulated multi-layered Al- vol 5% SiC, Al- vol. 5% B4C and Al- vol .5% SiO2 nanocomposite beam were determined by the Genetic Algorithm methods, software MATLAB and ANSYS. By using genetic algorithms, optimal conditions for the arrangement and thickness of layers in nanocomposite beam was calculated through the usage of software MATLAB. Also critical buckling loads, natural frequencies and bending stiffness (EI)* of pure aluminum beam were compared to multi-layered nanocomposite beam by software ANSYS. The results show that the mechanical behaviors were improved by using the nano reinforcement particles such as being more stable than the pure aluminum beam respect to resonance phenomena and indicating better performance in tolerating loads against buckling happening.