4.6 Article

Coupling Magneto-Electro-Elastic node-based smoothed radial point interpolation method for free vibration and transient analysis of Functionally Graded Magneto-Electro-Elastic structures

Journal

CHINESE JOURNAL OF AERONAUTICS
Volume 33, Issue 1, Pages 227-243

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.cja.2019.07.024

Keywords

Coupling Magneto-Electro-Elastic node-based smoothed radial point interpolation method; Functionally Graded; Magneto-Electro-Elastic; Gradient smoothing technique; Rayleigh damping; Transient responses

Funding

  1. National Key R&D Program of China [2018YFF01012401-05]
  2. National Natural Science Foundation of China [51975243]
  3. Jilin Provincial Department of Education, China [JJKH20180084KJ]
  4. Fundamental Research Funds for the Central Universities
  5. Jilin Provincial Department of Science & Technology Fund Project, China [20170101043JC, 20180520072JH]
  6. Graduate Innovation Fund of Jilin University, China [101832018C184]

Ask authors/readers for more resources

A Coupling Magneto-Electro-Elastic (MEE) Node-based Smoothed Radial Point Interpolation Method (CM-NS-RPIM) was proposed to solve the free vibration and transient responses of Functionally Graded Magneto-Electro-Elastic (FGMEE) structures. By introducing the modified Newmark method, the displacement, electrical potential and magnetic potential of the structures under transient mechanical loading were obtained. Based on G space theory and the weakened weak (W-2) formulation, the equations of the multi-physics coupling problems were derived. Using triangular background elements, the free vibration and transient responses of three numerical examples were studied. Results proved that CM-NS-RPIM performed better than the standard FEM by reducing the overly-stiff of structures. Moreover, CM-NS-RPIM could reduce the number of nodes while guaranteeing the accuracy. Besides, triangular elements could be generated automatically even for complex geometries. Therefore, the effectiveness and validity of CM-NS-RPIM were demonstrated, which were valuable for the design of intelligence devices, such as energy harvesters and sensors. (C) 2019 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd.

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