Optimum Design of Nano-Scaled Beam Using the Social Spider Optimization (SSO) Algorithm

UZUN B., CİVALEK Ö., AYDOĞDU İ.

JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS, cilt.7, sa.3, ss.1348-1361, 2021 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7 Sayı: 3
  • Basım Tarihi: 2021
  • Doi Numarası: 10.22055/jacm.2019.31406.1870
  • Dergi Adı: JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, Directory of Open Access Journals
  • Sayfa Sayıları: ss.1348-1361
  • Anahtar Kelimeler: Nano beams, Deflection analysis, Social Spider Optimization, PULL-IN INSTABILITY, FREE-VIBRATION ANALYSIS, BUCKLING ANALYSIS, BEHAVIOR, INTELLIGENCE, MICROTUBULES, ELASTICITY
  • Akdeniz Üniversitesi Adresli: Evet

Özet

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.