Big data analysis via computer and semi numerical simulations for dynamic responses of complex nanosystems

作者：Maalla, Allam; Huang, Xiaoping^*; Zhou, Hongkai

来源：Advances in Nano Research, 2022, 13(6): 599-617.

DOI：10.12989/anr.2022.13.6.599

• big data analysis
• complex nanosystems
• computer and semi numerical simulations
• dynamic responses

In the present research, for the first time, the vibrational as well as buckling characteristics of a three-layered curved nanobeam including a core made of functionally graded (FG) material and two layers of smart material-piezo-magneto-electric-resting on a Winkler Pasternak elastic foundation are examined. The displacement field for the nanobeam is chosen via Timoshenko beam theory. Also, the size dependency is taken into account by using nonlocal strain gradient theory, aka NSGT. Then, by employing Hamilton's principle, energy procedure, the governing equations together with the boundary conditions are achieved. The solution procedure is a numerical solution called generalized differential quadrature method, or GDQM. The accuracy and reliability of the formulation alongside solution method is examined by using other published articles. Lastly, the parameter which can alter and affect the buckling or vocational behavior of the curved nanobeam is investigated in details.

• 单位
  桂林理工大学