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Author

Songdong Shao

Other affiliations: Qinghai University, Kyoto University, Sichuan University  ...read more
Bio: Songdong Shao is an academic researcher from University of Sheffield. The author has contributed to research in topics: Smoothed-particle hydrodynamics & Turbulence. The author has an hindex of 29, co-authored 79 publications receiving 3707 citations. Previous affiliations of Songdong Shao include Qinghai University & Kyoto University.


Papers
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Journal ArticleDOI
TL;DR: In this article, an incompressible smoothed particle hydrodynamics (SPH) method is presented to simulate Newtonian and non-Newtonian flows with free surfaces.

923 citations

Journal ArticleDOI
TL;DR: In this paper, an incompressible smoothed particle hydrodynamics (SPH) method together with a large eddy simulation (LES) approach is used to simulate the near-shore solitary wave mechanics.

366 citations

Journal ArticleDOI
TL;DR: In this paper, a Corrected Incompressible SPH (CISPH) method is proposed for accurate tracking of water surface in breaking waves, where corrective terms are derived based on a variational approach to ensure the angular momentum preservation of ISPH formulations.

274 citations

Journal ArticleDOI
TL;DR: In this article, an incompressible Smoothed Particle Hydrodynamics (SPH) model is proposed to investigate the wave overtopping of coastal structures, which is a grid-less Lagrangian approach which is capable of tracking the large deformations of the free surface with good accuracy.

158 citations

Journal ArticleDOI
TL;DR: In this paper, a new criterion is proposed for a more efficient assessment of free-surface particles in a particle-based simulation and enhanced wave impact simulations are carried out by improved Incompressible SPH (ISPH) methods.

156 citations


Cited by
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Journal ArticleDOI
TL;DR: An overview on the SPH method and its recent developments is presented, including the need for meshfree particle methods, and advantages of SPH, and several important numerical aspects.
Abstract: Smoothed particle hydrodynamics (SPH) is a meshfree particle method based on Lagrangian formulation, and has been widely applied to different areas in engineering and science. This paper presents an overview on the SPH method and its recent developments, including (1) the need for meshfree particle methods, and advantages of SPH, (2) approximation schemes of the conventional SPH method and numerical techniques for deriving SPH formulations for partial differential equations such as the Navier-Stokes (N-S) equations, (3) the role of the smoothing kernel functions and a general approach to construct smoothing kernel functions, (4) kernel and particle consistency for the SPH method, and approaches for restoring particle consistency, (5) several important numerical aspects, and (6) some recent applications of SPH. The paper ends with some concluding remarks.

1,398 citations

Journal ArticleDOI
TL;DR: Several improvements that are implemented are presented here to handle turbulence, the fluid viscosity and density, and a different time-stepping algorithm is used.

691 citations

Journal ArticleDOI
TL;DR: A review of the applications of smoothed particle hydrodynamics (SPH) to incompressible flow can be found in this article, where the authors focus on the applicability of SPH to complex physical problems.
Abstract: This review focuses on the applications of smoothed particle hydrodynamics (SPH) to incompressible or nearly incompressible flow. In the past 17 years, the range of applications has increased as researchers have realized the ability of SPH algorithms to handle complex physical problems. These include the disruption of free surfaces when a wave hits a rocky beach, multifluid problems that may involve the motion of rigid and elastic bodies, non-Newtonian fluids, virtual surgery, and chemical precipitation from fluids moving through fractured media. SPH provides a fascinating tool that has some of the properties of molecular dynamics while retaining the attributes of the macroscopic equations of continuum mechanics.

643 citations

Journal ArticleDOI
TL;DR: A new divergence-free ISPH approach is proposed here which maintains accuracy and stability while remaining mesh free without increasing computational cost by slightly shifting particles away from streamlines, although the necessary interpolation of hydrodynamic characteristics means the formulation ceases to be strictly conservative.

572 citations

Journal ArticleDOI
TL;DR: The parallel power computing of Graphics Computing Units (GPUs) is used to accelerate DualSPHysics by up to two orders of magnitude compared to the performance of the serial version.

550 citations