Computers and Concrete

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Intelligent big data analysis and computational modelling for the stability response of the NEMS

  • Juncheng Fan (Mechanical & Electrical Engineering School, Zhejiang Fashion Institute of Technology) ;
  • Qinyang Li (Department of Computer Science and Engineering, University of South Carolina) ;
  • Sami Muhsen (Air conditioning and Refrigeration Techniques Engineering Department, Al-Mustaqbal University College) ;
  • H. Elhosiny Ali (Department of Physics, Faculty of Science, King Khalid University)
  • Received : 2022.12.04
  • Accepted : 2022.12.14
  • Published : 2023.02.25
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Abstract

This article investigates the statically analysis regarding the thermal buckling behavior of a nonuniform small-scale nanobeam made of functionally graded material based on classic beam theories along with the nonlocal Eringen elasticity. The material distribution of functionally graded structures is composed of temperature-dependent ceramic and metal phases in axial and thickness directions, called two-dimensional functionally graded (2D-FG). The partial differential (PD) formulations and end conditions are extracted by using to the conservation energy method. The porosity voids are assumed in the nonuniform functionally graded (FG) structure. The thermal loads are in the axial direction of the beam. The extracted nonlocal PD equations are also solved by employing generalized differential quadrature method (GDQM). Last but not least, the information acquired is used to produce miniature sensors, providing a unique perspective on the growth of nanoelectromechanical systems (NEMS).

Keywords

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