A Local Regrouping Method in the 2D SPH Simulation

Feng Yan Liu; Le Fang

doi:10.4028/www.scientific.net/AMM.556-562.3756

Paper Titles

Research on Line-of-Sight Rate Estimation of Strapdown Seeker
p.3739

Numerical Simulation of Anomalous Vortex Beams on Different Fractional Fourier Transform Planes
p.3745

Study on the Density of Supercritical CO₂ with State Equation
p.3749

A Numerical Method for Tracking the Deformation of Fluid Particles
p.3752

A Local Regrouping Method in the 2D SPH Simulation
p.3756

A Maintenance Policy Model Based on Time-Variant Reliability
p.3760

Study on Fast Codeword Search Based on Improved Ant Colony Algorithm
p.3768

Real-Time Speech Enhancement by Adaptive Spectral Subtraction Method
p.3774

The Integrative Establishment of a Three-Dimensional Structure Model of Changling Gas Field in Changling Fault Depression
p.3779

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562A Local Regrouping Method in the 2D SPH Simulation

A Local Regrouping Method in the 2D SPH Simulation

Abstract:

The distortion of particles distribution is a defect that usually leads to numerical instability in the traditional SPH method. In this contribution, we introduce a novel local regrouping method to solve this problem. The basic idea is to keep the particles undeformed by regrouping, dividing or combining the deformed particles. We succeed to simulate the Taylor-Green vortex in 2D with this method, and demonstrate the effectiveness of this method.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

3756-3759

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.3756

Citation:

Cite this paper

Online since:

May 2014

Authors:

Feng Yan Liu*, Le Fang

Keywords:

Local Regrouping, Particle Distortion, Smoothed Particle Hydrodynamic (SPH), Taylor-Green Vortex

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

Сopyright:

* - Corresponding Author

References

[1] P. Koumoutsakos: Annual Review of Fluid Mechanics, Vol. 37 (2005), p.457.

Google Scholar

[2] W. Cleveland and C. Loader, Smoothing by Local Regression: Principles and Methods, In: W. Hardle and M.G. Schimek, Statistical Theory and Computational Aspects of Smoothing, Physica-Verlag HD, Heidelberg, 1996, pp.10-49.

DOI: 10.1007/978-3-642-48425-4_2

Google Scholar

[3] M. De Leffe and D. Le Touze: Journal of Hydraulic Research, Vol. 48 (2010) No. S1, p.118.

Google Scholar

[4] S. Chen, L. Fang and B. Qu: submitted to International Conference on Advances in Mechanical Engineering and Industrial Informatics (Beijing, China, April 19-20, 2014).

Google Scholar

[5] Information on http: /code. google. com/p/sph-turb.

Google Scholar