Overview and applications of the reproducing Kernel particle methods

Wing K Liu*, Y. Chen, S. Jun, J. S. Chen, T. Belytschko, C. Pan, R. A. Uras, C. T. Chang

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

240 Scopus citations

Abstract

Multiple-scale Kernel Particle methods are proposed as an alternative and/or enhancement to commonly used numerical methods such as finite element methods. The elimination of a mesh, combined with the properties of window functions, makes a particle method suitable for problems with large deformations, high gradients, and high modal density. The Reproducing Kernel Particle Method (RKPM) utilizes the fundamental notions of the convolution theorem, multiresolution analysis and window functions. The construction of a correction function to scaling functions, wavelets and Smooth Particle Hydrodynamics (SPH) is proposed. Completeness conditions, reproducing conditions and interpolant estimates are also derived. The current application areas of RKPM include structural acoustics, elastic-plastic deformation, computational fluid dynamics and hyperelasticity. The effectiveness of RKPM is extended through a new particle integration method. The Kronecker delta properties of finite element shape functions are incorporated into RKPM to develop a Cm kernel particle finite element method. Multiresolution and hp-like adaptivity are illustrated via examples.

Original languageEnglish (US)
Pages (from-to)3-80
Number of pages78
JournalArchives of Computational Methods in Engineering
Volume3
Issue number1
DOIs
StatePublished - Jan 1 1996

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics

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