optimum design of nano-scaled beam using the social spider optimization (sso) algorithm

In this research study, the optimum cross-sectional dimensions of nanoscale 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 nanoscaled beams are modeled; carbon nanotubes (cnts) and boron nitride nanotubes (bnnts). the novel metaheuristic 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.