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http://dx.doi.org/10.12989/sem.2020.73.5.481

Buckling load optimization of beam reinforced by nanoparticles  

Motezaker, Mohsen (School of Railway Engineering, Iran University of Science and Technology)
Eyvazian, Arameh (Mechanical and Industrial Engineering Department, College of Engineering, Qatar University)
Publication Information
Structural Engineering and Mechanics / v.73, no.5, 2020 , pp. 481-486 More about this Journal
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.
Keywords
harmony search; buckling; optimization nanocomposite beam; nanoparticles;
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Times Cited By KSCI : 10  (Citation Analysis)
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