@article { author = {Uzun, Büşra and Civalek, Omer and Aydogdu, Ibrahim}, title = {Optimum Design of Nano-Scaled Beam Using the Social Spider Optimization (SSO) Algorithm}, journal = {Journal of Applied and Computational Mechanics}, volume = {7}, number = {3}, pages = {1348-1361}, year = {2021}, publisher = {Shahid Chamran University of Ahvaz}, issn = {2383-4536}, eissn = {2383-4536}, doi = {10.22055/jacm.2019.31406.1870}, abstract = {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.}, keywords = {nano beams,Deflection analysis,Social Spider Optimization}, url = {https://jacm.scu.ac.ir/article_15044.html}, eprint = {https://jacm.scu.ac.ir/article_15044_dab7fc19134d339fdbcddd726dab1676.pdf} }