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Intelligent modeling to investigate the stability of a two-dimensional functionally graded porosity-dependent nanobeam

  • Zhou, Jinxuan (State Key Laboratory of the Gas Disaster Detecting Preventing and Emergency Controlling) ;
  • Moradi, Zohre (Faculty of Engineering and Technology, Department of Electrical Engineering, Imam Khomeini International University) ;
  • Safa, Maryam (Institute of Research and Development, Duy Tan University) ;
  • Khadimallah, Mohamed Amine (Civil Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University)
  • Received : 2022.02.22
  • Accepted : 2022.06.07
  • Published : 2022.08.25

Abstract

Using a combination of nonlocal Eringen as well as classical beam theories, this research explores the thermal buckling of a bidirectional functionally graded nanobeam. The formulations of the presented problem are acquired by means on conserved energy as well as nonlocal theory. The results are obtained via generalized differential quadrature method (GDQM). The mechanical properties of the generated material vary in both axial and lateral directions, two-dimensional functionally graded material (2D-FGM). In nanostructures, porosity gaps are seen as a flaw. Finally, the information gained is used to the creation of small-scale sensors, providing an outstanding overview of nanostructure production history.

Keywords

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