Mathematics (May 2022)

Monte Carlo Based Isogeometric Stochastic Finite Element Method for Uncertainty Quantization in Vibration Analysis of Piezoelectric Materials

  • Yanming Xu,
  • Haozhi Li,
  • Leilei Chen,
  • Juan Zhao,
  • Xin Zhang

DOI
https://doi.org/10.3390/math10111840
Journal volume & issue
Vol. 10, no. 11
p. 1840

Abstract

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In this study, a Monte Carlo simulation (MCs)-based isogeometric stochastic Finite Element Method (FEM) is proposed for uncertainty quantification in the vibration analysis of piezoelectric materials. In this method, deterministic solutions (natural frequencies) of the coupled eigenvalue problem are obtained via isogeometric analysis (IGA). Moreover, MCs is employed to solve various uncertainty parameters, including separate elastic and piezoelectric constants and their combined cases.

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