Smoothed particle hydrodynamics hybrid model of ice-jam formation and release

2009 ◽  
Vol 36 (7) ◽  
pp. 1133-1143 ◽  
Author(s):  
Simon Nolin ◽  
Varvara Roubtsova ◽  
Brian Morse ◽  
Tung Quach
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
Domain Model ◽  
Test Case ◽  
Ice Dynamics ◽  
One Dimensional ◽  
Angle Of Internal Friction ◽  
Ice Jam ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
D Model

This article presents a numerical public domain model, SPIKI, to simulate water and ice dynamics during ice-jam formation and river breakup events. The model has two independent coupled components. The first is a one-dimensional (1-D) finite volume Saint-Venant hydrodynamic model, whereas the second is a two-dimensional (2-D) model called smoothed particle hydrodynamics (SPH) ice-rubble model that simulates ice dynamics. Application to an idealized test case demonstrated the effect of a variable angle of internal friction and the effect of ice-bank friction during the formation of an ice jam. Application to an actual event on the Saint John River in New Brunswick, Canada reproduced, within the certainty of the observed data, an observed ice-jam profile and the rise in water level and discharge after the release of the jam.

An Improved Support Domain Model of Smoothed Particle Hydrodynamics Method to Simulate Crack Propagation in Materials

2019 ◽  
Vol 17 (10) ◽  
pp. 1950081
Author(s):  
Tian Wang ◽  
Jian Wang ◽  
Peng Zhang
Keyword(s):  
Energy Density ◽  
Smoothed Particle Hydrodynamics ◽  
Strain Energy Density ◽  
Strain Energy ◽  
Domain Model ◽  
Particle Hydrodynamics ◽  
Density Factor ◽  
Smoothed Particle ◽  
Support Domain ◽  
Energy Density Factor

Smoothed particle hydrodynamics (SPH) has its unique advantages in simulating large deformation. However, in its calculation, it is easy for some regional particles to break off. This paper puts forward the concept of virtual crack boundary to solve crack propagating problems in the framework of SPH. The parameters of virtual crack boundary are determined by the projection method of descending dimension, which improves the support domains of crack tip particles. Based on the principle of minimum strain energy density factor in fracture mechanics, the initiation and extended directions of cracks in materials are estimated. By simulating the generation and expansion of three modes of cracks in materials, the SPH calculation results of the three types of support domain forms are compared with the ABAQUS simulation results and experiment results. It indicates that the method of virtual crack boundary method is more stable than the one based on discontinuous medium. And it can generate more reasonable results than the method based on continuous medium. This paper proves the effectiveness of strain energy density factor based on fracture mechanics theory in searching the direction of crack expansion using SPH, and explores the application of new support domain model in SPH crack solution.

A PCISPH implementation using distributed multi-GPU acceleration for simulating industrial engineering applications

2020 ◽  
Vol 34 (4) ◽  
pp. 450-464
Author(s):  
Kevin Verma ◽  
Christopher McCabe ◽  
Chong Peng ◽  
Robert Wille
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
High Performance ◽  
Optimization Techniques ◽  
Test Case ◽  
Time Step ◽  
Water Splash ◽  
Particle Hydrodynamics ◽  
Order Of Magnitude ◽  
Smoothed Particle ◽  
Incompressible Smoothed Particle Hydrodynamics

Predictive–corrective incompressible smoothed particle hydrodynamics (PCISPH) is a promising variant of the particle-based fluid modeling technique smoothed particle hydrodynamics (SPH). In PCISPH, a dedication prediction–correction scheme is employed which allows for using a larger time step and thereby outperforms other SPH variants by up to one order of magnitude. However, certain characteristics of the PCISPH lead to severe synchronization problems that, thus far, prevented PCISPH from being applied to industrial scenarios where high performance computing techniques need to leveraged in order to simulate in appropriate resolution. In this work, we are for the first time, presenting a highly accelerated PCISPH implementation which employs a distributed multi-GPU architecture. To that end, dedicated optimization techniques are presented that allow to overcome the drawbacks caused by the algorithmic characteristics of PCISPH. Experimental evaluations on a standard dam break test case and an industrial water splash scenario confirm that PCISPH can be efficiently employed to model real-world scenarios involving a large number of particles.

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