Application of 3D Smoothed Particle Hydrodynamics to a Shock Tube Flow: Effects and Control of Particle Distribution

2005 ◽  
Author(s):  
Martin Lastiwka ◽  
Mihai Basa ◽  
Nathan Quinlan
Keyword(s):  
Shock Tube ◽  
Smoothed Particle Hydrodynamics ◽  
Particle Distribution ◽  
Tube Flow ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Flow Effects ◽  
And Control

scholarly journals Interaction of Shock Waves with Discrete Gas Inhomogeneities: A Smoothed Particle Hydrodynamics Approach

2019 ◽  
Vol 9 (24) ◽  
pp. 5435 ◽  
Author(s):  
Andrea Albano ◽  
Alessio Alexiadis
Keyword(s):  
Shock Wave ◽  
Shock Waves ◽  
Shock Tube ◽  
Smoothed Particle Hydrodynamics ◽  
Particle Hydrodynamics ◽  
Interaction Of Shock Waves ◽  
Smoothed Particle ◽  
Different Shapes ◽  
The Difference

In this study, we propose a smoothed particle hydrodynamics model for simulating a shock wave interacting with cylindrical gas inhomogeneities inside a shock tube. When the gas inhomogeneity interacts with the shock wave, it assumes different shapes depending on the difference in densities between the gas inhomogeneity and the external gas. The model uses a piecewise smoothing length approach and is validated by comparing the results obtained with experimental and CFD data available in the literature. In all the cases considered, the evolution of the inhomogeneity is similar to the experimental shadowgraphs and is at least as accurate as the CFD results in terms of timescale and shape of the gas inhomogeneity.

scholarly journals Research on the Effect of Particle Distribution on the Crack Propagation in Shaped Energy Blasting Based on the Smoothed Particle Hydrodynamics

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Pengfei Guo ◽  
Xiaohu Zhang ◽  
Weisheng Du ◽  
Xiaochun Xiao ◽  
Dingjie Sun
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
Particle Distribution ◽  
Shaped Charge ◽  
Uneven Distribution ◽  
Adaptive Optimization ◽  
Sph Method ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Particle Configuration ◽  
Self Adaptive

Conventional smoothed particle hydrodynamics (SPH) methods suffer from disadvantages, such as difficult initial particle configuration, uneven distribution of generated particles, and low computational efficiency when applied to numerical simulation of shaped charge blasting. In this research, to overcome these problems, a modified SPH method that generates the particle configuration through self-adaptive optimization is developed by the combined application of MATLAB and LS-DYNA. The results presented in this paper demonstrate that the modified configuration method solves the problem of uneven distribution of particles in complex geometry domains by providing a more uniform smoothed particle distribution than the conventional SPH method. Furthermore, the results from the application of these two methods to the bidirectional-shaped charge blasting problem reveal that the defects in the particle configuration in the conventional SPH method lead to the development of main cracks in both the shaped and the unshaped directions. However, with the self-adaptive optimization method, the main cracks develop only in the shaped direction. In addition, the equivalent stress difference between the shaped and unshaped directions, 0.7 ms after detonation, is 120 MPa with the modified method. This is 85 MPa more than that with the conventional method.

Efficient Implementation of Smoothed Particle Hydrodynamics (SPH) with Plane Sweep Algorithm

2016 ◽  
Vol 19 (3) ◽  
pp. 770-800 ◽  
Author(s):  
Dong Wang ◽  
Yisong Zhou ◽  
Sihong Shao
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
Large Scale ◽  
Particle Distribution ◽  
Plane Sweep ◽  
Segment Tree ◽  
Sweep Algorithm ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Data Structures And Algorithms ◽  
Dynamics Simulations

AbstractNeighbour search (NS) is the core of any implementations of smoothed particle hydrodynamics (SPH). In this paper,we present an efficientneighbour search method based on the plane sweep (PW) algorithm withNbeing the number of SPH particles. The resulting method, dubbed the PWNS method, is totally independent of grids (i.e., purely meshfree) and capable of treating variable smoothing length, arbitrary particle distribution and heterogenous kernels. Several state-of-the-art data structures and algorithms, e.g., the segment tree and the Morton code, are optimized and implemented. By simply allowingmultiple lines to sweep the SPH particles simultaneously from different initial positions, a parallelization of the PWNS method with satisfactory speedup and load-balancing can be easily achieved. That is, the PWNS SPH solver has a great potential for large scale fluid dynamics simulations.

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