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  • 标题:The New Gradient Recovery And External Domain Error Estimators: Extension To 2-D Elastostatics Bem
  • 本地全文:下载
  • 作者:Ariosto B. Jorge ; Gabriel O. Ribeiro ; Timothy S. Fisher
  • 期刊名称:Mecánica Computacional
  • 印刷版ISSN:2591-3522
  • 出版年度:2007
  • 期号:1
  • 页码:1328-1349
  • 语种:English
  • 出版社:CIMEC-INTEC-CONICET-UNL
  • 摘要:Two new error estimators for the BEM in 2-D potential problems were recently presented by the authors. This work extends these two error estimators for 2-D elastostatics problems. The first approach involves a local error estimator based on a gradient recovery procedure in which the error function is based on differences between smoothed and non-smoothed rates of change of boundary variables in the local tangential direction. The second approach is associated with the external problem formulation and gives both local and global measures of the error, depending on a choice of the external evaluation point. These approaches are post-processingpr ocedures. Both estimators show consistency with mesh refinement and give similar qualitative results. The error estimator using the gradient recovery approach presents a more general characteristic as its formulation does not rely on an “optimal” choice of an external parameter, such as in the case of the external domain error estimator. Also, the external domain error estimator can be used only for domains in which an exterior region exists.
  • 其他摘要:Two new error estimators for the BEM in 2-D potential problems were recently presented by the authors. This work extends these two error estimators for 2-D elastostatics problems. The first approach involves a local error estimator based on a gradient recovery procedure in which the error function is based on differences between smoothed and non-smoothed rates of change of boundary variables in the local tangential direction. The second approach is associated with the external problem formulation and gives both local and global measures of the error, depending on a choice of the external evaluation point. These approaches are post-processingpr ocedures. Both estimators show consistency with mesh refinement and give similar qualitative results. The error estimator using the gradient recovery approach presents a more general characteristic as its formulation does not rely on an “optimal” choice of an external parameter, such as in the case of the external domain error estimator. Also, the external domain error estimator can be used only for domains in which an exterior region exists.
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