• 文献标题:   A Kriging Surrogate Model for Uncertainty Analysis of Graphene Based on a Finite Element Method
  • 文献类型:   Article
  • 作  者:   SHI JJ, CHU L, BRAUN R
  • 作者关键词:   kriging surrogate model, graphene sheet, latin hypercube sampling, finite element method
  • 出版物名称:   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
  • ISSN:  
  • 通讯作者地址:   Nantong Univ
  • 被引频次:   4
  • DOI:   10.3390/ijms20092355
  • 出版年:   2019

▎ 摘  要

Due to the inevitable presence of random defects, unpredictable grain boundaries in macroscopic samples, stress concentration at clamping points, and unknown load distribution in the investigation of graphene sheets, uncertainties are crucial and challenging issues that require more exploration. The application of the Kriging surrogate model in vibration analysis of graphene sheets is proposed in this study. The Latin hypercube sampling method effectively propagates the uncertainties in geometrical and material properties of the finite element model. The accuracy and convergence of the Kriging surrogate model are confirmed by a comparison with the reported references. The uncertainty analysis for both Zigzag and Armchair graphene sheets are compared and discussed.