Abstract
In this paper, the optimization of the volume fraction of functionally graded (FG) beams for maximizing the first natural frequency is investigated. Distribution laws using three, four and five parameters are used to describe volume fraction. Navier-type solutions based on various shear deformation theories are developed to compute the natural frequencies. A new metaheuristic algorithm called Social Group Optimization (SGO) is employed for the first time to solve the functionally graded beam optimization problem. Optimal volume fractions for beams with different material properties are then obtained. It is found that the five-parameter distributions give the highest first natural frequency for all cases. Moreover, the results show the consistency of the optimal volume fractions obtained by different shear deformation theories. It is also confirmed that SGO is an efficient tool for this complicated optimization problem.
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Pham, A.H., Vu, T.V., Tran, T.M. (2018). Optimal Volume Fraction of Functionally Graded Beams with Various Shear Deformation Theories Using Social Group Optimization. In: Nguyen-Xuan, H., Phung-Van, P., Rabczuk, T. (eds) Proceedings of the International Conference on Advances in Computational Mechanics 2017. ACOME 2017. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-7149-2_27
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DOI: https://doi.org/10.1007/978-981-10-7149-2_27
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