Large Eddy Simulation by particle method coupled with Sub-Particle-Scale model and application to mixing layer flow

Guangtao Duan, Bin Chen

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

The Moving Particle Semi-implicit method (MPS) shows great potential to simulate violent incompressible free surface flows. However, Direct Numerical Simulations of such turbulent flows by particle methods would be extremely time-consuming. Taken ideas from the Sub-Grid Scale (SGS) model in grid-based Large Eddy Simulation (LES), static and dynamic Smagorinsky models are specially designed for Sub-Particle Scale (SPS) model in MPS. These SPS models are discretized by the combination of gradient and divergence models in MPS and the semi-implicit algorithm to implement MPS-LES is developed. The widely-studied mixing layer flows are simulated to quantitatively validate the developed turbulence particle model. Both the turbulent statistical profiles and vortex pairing processes are in good agreements with experimental observations after the SPS model is adopted. Moreover, it is found that the performance of the dynamic Smagorinsky model is better than that of the static model.

Original languageEnglish
Pages (from-to)3135-3149
Number of pages15
JournalApplied Mathematical Modelling
Volume39
Issue number10-11
DOIs
Publication statusPublished - 2015 Jan 1
Externally publishedYes

Fingerprint

Mixing Layer
Particle Method
Large Eddy Simulation
Large eddy simulation
Semi-implicit
Implicit Method
Dynamic models
Model
Dynamic Model
Incompressible Surface
Subgrid-scale Model
Direct numerical simulation
Free Surface Flow
Turbulent flow
Incompressible Flow
Turbulent Flow
Pairing
Vortex flow
Turbulence
Vortex

Keywords

  • Large Eddy Simulation
  • Particle method
  • Sub-Particle-Scale model
  • Turbulent mixing layer flow

ASJC Scopus subject areas

  • Modelling and Simulation
  • Applied Mathematics

Cite this

Large Eddy Simulation by particle method coupled with Sub-Particle-Scale model and application to mixing layer flow. / Duan, Guangtao; Chen, Bin.

In: Applied Mathematical Modelling, Vol. 39, No. 10-11, 01.01.2015, p. 3135-3149.

Research output: Contribution to journalArticle

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