An improved particle smoothing procedure for Laplacian operator in a randomly scattered cloud

Yao Hsin Hwang, K. C. Ng, Tony W.H. Sheu

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In the present study, an improved particle smoothing (IPS) procedure is proposed to imitate the Laplacian operator in a randomly scattered particle cloud. It is devised to provide a more accurate mathematical representation of diffusion term in the moving particle methods. From the numerical analyses, the major source of conventional particle smoothing (PS) schemes leading to solution inaccuracy can be attributed to the intrinsic artificial convection term, whose accuracy order is of O(δ−1). Spatial accuracy can be improved by eliminating the numerically induced artificial velocity in the proposed IPS scheme. Verification studies are performed by testing the proposed scheme in pure diffusion problems. Benchmark lid-driven cavity and backward-facing step flow problems are solved to demonstrate the superiority of the proposed scheme. In the light of numerical analysis and computational results, it is concluded that the proposed IPS scheme is effective to simulate fluid flow problems in the context of moving particle methods.

Original languageEnglish
Pages (from-to)111-135
Number of pages25
JournalNumerical Heat Transfer, Part B: Fundamentals
Volume70
Issue number2
DOIs
Publication statusPublished - 02 Aug 2016

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All Science Journal Classification (ASJC) codes

  • Numerical Analysis
  • Modelling and Simulation
  • Condensed Matter Physics
  • Mechanics of Materials
  • Computer Science Applications

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