Density-based smoothed particle hydrodynamics methods for incompressible flows

Fatehi, R. and Rahmat, Amin and Tofighi, N. and Yıldız, Mehmet and Shadloo, M. S. (2019) Density-based smoothed particle hydrodynamics methods for incompressible flows. Computers and Fluids, 185 . pp. 22-33. ISSN 0045-7930 (Print) 1879-0747 (Online)

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Abstract

In this study, we have introduced two new iterative density-based Smoothed Particle Hydrodynamics (SPH) methods to model incompressible flows, namely, preconditioned dual time-stepping, and augmented Lagrangian method. The performance of these new methods are compared with each other and also with a modified version of the well-known weakly compressible SPH (WC-SPH) method through solving three carefully chosen incompressible flow problems: a laminar incompressible channel flow over a backward-facing step, a 2D stiff pressure decay problem and Taylor-Green vortices flow. For the first test problem, the results are compared with available data in literature. Moreover, it is observed that the two iterative methods provide a better accuracy in terms of smoother pressure field and also smaller magnitude of the velocity divergence across the computational domain. In the second test problem, it is shown that the preconditioned dual time-stepping and the augmented Lagrangian SPH methods yield rather smooth pressure fields, and converge to the exact solution, while the pressure field computed by the WC-SPH method oscillates even after very long time. As for the third test case, the iterative methods are compared with WC-SPH method for different iteration numbers and particle resolutions.
Item Type: Article
Uncontrolled Keywords: Density-based approaches; Smoothed particle hydrodynamics (SPH); Incompressible flow; Preconditioned dual time-stepping method; Augmented lagrangian method
Divisions: Integrated Manufacturing Technologies Research and Application Center

Faculty of Engineering and Natural Sciences > Academic programs > Materials Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Mehmet Yıldız
Date Deposited: 27 Aug 2019 15:03
Last Modified: 26 Apr 2022 10:06
URI: https://research.sabanciuniv.edu/id/eprint/37649

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