| Autor: |
Büşra Uzun, Omer Civalek, Ibrahim Aydogdu |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Journal of Applied and Computational Mechanics, Vol 7, Iss 3, Pp 1348-1361 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2383-4536 |
| DOI: |
10.22055/jacm.2019.31406.1870 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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