%0 Journal Article
%T Optimum Design of Nano-Scaled Beam Using the Social Spider Optimization (SSO) Algorithm
%J Journal of Applied and Computational Mechanics
%I Shahid Chamran University of Ahvaz
%Z 2383-4536
%A Uzun, Büşra
%A Civalek, Omer
%A Aydogdu, Ibrahim
%D 2021
%\ 07/01/2021
%V 7
%N 3
%P 1348-1361
%! Optimum Design of Nano-Scaled Beam Using the Social Spider Optimization (SSO) Algorithm
%K nano beams
%K Deflection analysis
%K Social Spider Optimization
%R 10.22055/jacm.2019.31406.1870
%X In this research study, the optimum cross-sectional dimensions of nano-scale beam elements are investigated under different load conditions. Euler-Bernoulli beam model based on nonlocal elasticity theory is utilized for the analysis of the beam. Two types of nano-scaled beams are modeled; carbon nanotubes (CNTs) and Boron nitride nanotubes (BNNTs). The novel meta-heuristic based optimization algorithm called Social Spider Optimization (SSO) algorithm is employed to find the beam designs with the objective of minimizing the cross-sectional area. Furthermore, the obtained optimum cross-sectional dimensions, critical stress and displacement values of the beams are compared according to the material type, beam length, and load conditions.
%U https://jacm.scu.ac.ir/article_15044_dab7fc19134d339fdbcddd726dab1676.pdf