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Structural Engineering and Mechanics Volume 73, Number 5, March10 2020 , pages 481-486 DOI: https://doi.org/10.12989/sem.2020.73.5.481 |
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Buckling load optimization of beam reinforced by nanoparticles |
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Mohsen Motezaker and Arameh Eyvazian
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| Abstract | ||
| This paper deals with the buckling and optimization of a nanocomposite beam. The agglomeration of nanoparticles was assumed by Mori-Tanaka model. The harmony search optimization algorithm is adaptively improved using two adjusted processes based on dynamic parameters. The governing equations were derived by Timoshenko beam model by energy method. The optimum conditions of the nanocomposite beam- based proposed AIHS are compared with several existing harmony search algorithms. Applying DQ and Hs methods, the optimum values of radius and FS were obtained. The effects of thickness, agglomeration, volume percent of CNTs and boundary conditions were assumed. The results show that with increasing the volume percent of CNTs, the optimum radius of the beam decreases while the FS was improved. | ||
| Key Words | ||
| harmony search; buckling; optimization nanocomposite beam; nanoparticles | ||
| Address | ||
| Mohsen Motezaker: School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran Arameh Eyvazian: Mechanical and Industrial Engineering Department, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar | ||