International Journal for Numerical Methods in Engineering, Vol. 50, No. 9, pp. 2233-2269, 2001


The Meshless Standard and Hypersingular Boundary Node Methods - Applications to Error Estimation and Adaptivity in Three-Dimensional Problems

 

M.K. Chati
Department of Theoretical and Applied Mechanics, Cornell University, Ithaca, NY 14853, U.S.A.

G.H. Paulino,
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 2209 Newmark Laboratory, 205 N. Mathews Avenue, Urbana, IL 61801, U.S.A.

S. Mukherjee
Department of Theoretical and Applied Mechanics, Cornell University, Ithaca, NY 14853, U.S.A.


Abstract


The standard (singular) boundary node method (BNM) and the novel hypersingular boundary node method (HBNM) are employed for the usual and adaptive solutions of three-dimensional potential and elasticity problems.  These methods couple boundary integral equations with moving least squares interpolants while retaining the dimensionality advantage of the former and the meshless attribute of the latter.  The "hypersingular residuals", developed for error estimation in the mesh-based collocation boundary element method (BEM) and symmetric Galerkin BEM are extended to the meshless BNM setting.  A simple "a posteriori" error estimation and an effective adaptive refinement procedure are presented.  The implementation of all the techniques involved in this work are discussed, which include aspects regarding parallel implementation of the BNM and HBNM codes.  Several numerical examples are given and discussed in detail.  Conclusions are inferred and relevant extensions of the methodology introduced in this work are provided.  Two appendices, dealing with the evaluation of nearly singular integrals and implementation of a scheme for obtaining displacement gradients on the surface of a body, supplement the paper.

 

Key words: meshless methods, boundary node method (BNM), hypersingular boundary node method (HBNM), singular residuals, hypersingular residuals, error estimates, adaptivity, parallel computing

 

Representative Results

  Framework
      
  Progressive Adaptation: Potential Example
      
  Multilevel Refinement: Potential Example
     
  Propressive Adaptation: Elasticity Example
      
  Multilevel Refinement: Elasticity Example

 

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