scholarly journals Two-fluid dusty gas in smoothed particle hydrodynamics: Fast and implicit algorithm for stiff linear drag

2018 ◽  
Vol 25 ◽  
pp. 25-37 ◽  
Author(s):  
O.P. Stoyanovskaya ◽  
T.A. Glushko ◽  
N.V. Snytnikov ◽  
V.N. Snytnikov
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
Dusty Gas ◽  
Implicit Algorithm ◽  
Particle Hydrodynamics ◽  
Linear Drag ◽  
Smoothed Particle ◽  
Two Fluid

scholarly journals Gas-monodisperse dust mixtures in smoothed particle hydrodynamics: computing of stiff non-linear drag

2019 ◽  
Vol 1336 ◽  
pp. 012015
Author(s):  
O P Stoyanovskaya ◽  
T A Glushko ◽  
F A Okladnikov ◽  
V N Snytnikov ◽  
N V Snytnikov
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
Non Linear ◽  
Particle Hydrodynamics ◽  
Linear Drag ◽  
Smoothed Particle

scholarly journals Plume-SPH 1.0: a three-dimensional, dusty-gas volcanic plume model based on smoothed particle hydrodynamics

2018 ◽  
Vol 11 (7) ◽  
pp. 2691-2715 ◽  
Author(s):  
Zhixuan Cao ◽  
Abani Patra ◽  
Marcus Bursik ◽  
E. Bruce Pitman ◽  
Matthew Jones
Keyword(s):  
Free Boundary ◽  
Smoothed Particle Hydrodynamics ◽  
Volcanic Ash ◽  
Volcanic Plume ◽  
Dusty Gas ◽  
Reynolds Analogy ◽  
Volcanic Plumes ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Community Of Researchers

Abstract. Plume-SPH provides the first particle-based simulation of volcanic plumes. Smoothed particle hydrodynamics (SPH) has several advantages over currently used mesh-based methods in modeling of multiphase free boundary flows like volcanic plumes. This tool will provide more accurate eruption source terms to users of volcanic ash transport and dispersion models (VATDs), greatly improving volcanic ash forecasts. The accuracy of these terms is crucial for forecasts from VATDs, and the 3-D SPH model presented here will provide better numerical accuracy. As an initial effort to exploit the feasibility and advantages of SPH in volcanic plume modeling, we adopt a relatively simple physics model (3-D dusty-gas dynamic model assuming well-mixed eruption material, dynamic equilibrium and thermodynamic equilibrium between erupted material and air that entrained into the plume, and minimal effect of winds) targeted at capturing the salient features of a volcanic plume. The documented open-source code is easily obtained and extended to incorporate other models of physics of interest to the large community of researchers investigating multiphase free boundary flows of volcanic or other origins. The Plume-SPH code (https://doi.org/10.5281/zenodo. 572819) also incorporates several newly developed techniques in SPH needed to address numerical challenges in simulating multiphase compressible turbulent flow. The code should thus be also of general interest to the much larger community of researchers using and developing SPH-based tools. In particular, the SPH−ε turbulence model is used to capture mixing at unresolved scales. Heat exchange due to turbulence is calculated by a Reynolds analogy, and a corrected SPH is used to handle tensile instability and deficiency of particle distribution near the boundaries. We also developed methodology to impose velocity inlet and pressure outlet boundary conditions, both of which are scarce in traditional implementations of SPH. The core solver of our model is parallelized with the message passing interface (MPI) obtaining good weak and strong scalability using novel techniques for data management using space-filling curves (SFCs), object creation time-based indexing and hash-table-based storage schemes. These techniques are of interest to researchers engaged in developing particles in cell-type methods. The code is first verified by 1-D shock tube tests, then by comparing velocity and concentration distribution along the central axis and on the transverse cross with experimental results of JPUE (jet or plume that is ejected from a nozzle into a uniform environment). Profiles of several integrated variables are compared with those calculated by existing 3-D plume models for an eruption with the same mass eruption rate (MER) estimated for the Mt. Pinatubo eruption of 15 June 1991. Our results are consistent with existing 3-D plume models. Analysis of the plume evolution process demonstrates that this model is able to reproduce the physics of plume development.

scholarly journals Plume-SPH 1.0: A three-dimensional, dusty-gas volcanic plume model based on smoothed particle hydrodynamics

2017 ◽  
Author(s):  
Zhixuan Cao ◽  
Abani Patra ◽  
Marcus Bursik ◽  
E. Bruce Pitman ◽  
Matthew Jones
Keyword(s):  
Free Boundary ◽  
Smoothed Particle Hydrodynamics ◽  
Volcanic Ash ◽  
Volcanic Plume ◽  
Dusty Gas ◽  
Reynolds Analogy ◽  
Volcanic Plumes ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Community Of Researchers

Abstract. Plume-SPH provides the the first particle based simulation of volcanic plumes. SPH (smoothed particle hydrodynamics) has several advantages over currently used mesh based methods in modeling of multiphase free boundary flows like volcanic plumes. This tool will provide more accurate eruption source terms to users of VATDs (Volcanic ash transport and dispersion models) greatly improving volcanic ash forecasts. The accuracy of these terms is crucial for forecasts from VATDs and the 3D SPH model presented here will provide better numerical accuracy. As an initial effort to exploit the feasibility and advantages of SPH in volcanic plume modeling, we adopt a relatively simple physics model (3D dusty-gas dynamic model assuming well mixed eruption materiel and dynamic and thermodynamic equilibrium between air and erupted material and minimal effect of winds) targeted at capturing the salient features of a volcanic plume. The documented open source code is easily obtained and extended to incorporate other models of physics of interest to the large community of researchers investigating multiphase free boundary flows of volcanic or other origins. The Plume-SPH code also incorporates several newly developed techniques in SPH needed to address numerical challenges in simulating multiphase compressible turbulent flow. The code should thus be also of general interest to the much larger community of researchers using and developing SPH based tools. In particular, the SPH − ε turbulence model is to capture mixing at unresolved scales, heat exchange due to turbulence is calculated by a Reynolds analogy and a corrected SPH is used to handle tensile instability and deficiency of particle distribution near the boundaries.We also developed methodology to impose velocity inlet and pressure outlet boundary conditions, both of which are scarce in traditional implementations of SPH. The core solver of our model is parallelized with MPI (message passing interface) obtaining good weak and strong scalability using novel techniques for data management using a SFCs (space-filling curves) and object creation time based indexing and hash table based storage scheme. These techniques are of interest to researchers engaged in developing particle in cell type methods. The model is verified by comparing velocity and concentration distribution along the central axis and on the transverse cross with experimental results of JPUE (jet or plume that is ejected from a nozzle into a uniform environment) and the top height of the Pinatubo eruption of 15 June 1991. Our results are consistent with both observations and existing 3D plume models. Profiles of several integrated variables are compared with those calculated in existing 3D plume models, and further verify our model. Analysis of the plume evolution process illustrates that this model is able to reproduce the physics of plume development.

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