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A residual based error estimator using radial basis functions

  • Bernard B.T. Kee*
  • , G. R. Liu
  • , G. Y. Zhang
  • , C. Lu
  • *此作品的通讯作者
  • National University of Singapore
  • The Singapore-MIT Alliance (SMA)
  • Agency for Science, Technology and Research, Singapore

科研成果: 期刊稿件文章同行评审

摘要

In this paper, a novel residual based error estimator using radial basis functions (RBFs) is proposed. The error estimator evaluates the residual in the strong-form governing equation in the local domain through direct integration. Due to the higher order continuous feature of the RBFs, the higher derivatives of the field function in the strong-form governing equation can be obtained using RBFs. The numerical examples show that the new residual based error estimator is simple, versatile robust and yet effective in the adaptive analyses. It is not only suitable for adaptive analysis that uses numerical method formulated based on mesh, e.g. finite element method, but also meshfree methods where the conventional residual based and recovery based error estimator cannot be used. Furthermore the present error estimator is also feasible for numerical method that is formulated based on both strong and weak formulation in the adaptive analyses.

源语言英语
页(从-至)631-645
页数15
期刊Finite Elements in Analysis and Design
44
9-10
DOI
出版状态已出版 - 6月 2008
已对外发布

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