GPU-centric resolved-particle disperse two-phase flow simulation using the Physalis method

Sierakowski, Adam

doi:10.1016/j.cpc.2016.05.006

Cited by 9 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We have implemented the methods described above in an open-source code designed for GPUcentric operation on CUDA-enabled GPUs [32], and we have found it to run more than 90 times faster than the legacy code of Z&P and G&P. In terms of accuracy, we find comparable results but with an increased convergence rate of Lamb's coefficient iterations and smaller particle force fluctuations.…”

Section: Validation and Benchmarkingmentioning

confidence: 90%

Resolved-particle simulation by the Physalis method: Enhancements and new capabilities

Sierakowski

Prosperetti

2016

Journal of Computational Physics

Self Cite

View full text Add to dashboard Cite

We present enhancements and new capabilities of the Physalis method for simulating disperse multiphase flows using particle-resolved simulation. The current work enhances the previous method by incorporating a new type of pressure-Poisson solver that couples with a new Physalis particle pressure boundary condition scheme and a new particle interior treatment to significantly improve overall numerical efficiency. Further, we implement a more efficient method of calculating the Physalis scalar products and incorporate short-range particle interaction models.We provide validation and benchmarking for the Physalis method against experiments of a sedimenting particle and of normal wall collisions. We conclude with an illustrative simulation of 2048 particles sedimenting in a duct. In the appendix, we present a complete and self-consistent description of the analytical development and numerical methods.

show abstract

Section: Validation and Benchmarkingmentioning

confidence: 90%

Resolved-particle simulation by the Physalis method: Enhancements and new capabilities

Sierakowski

Prosperetti

2016

Journal of Computational Physics

Self Cite

View full text Add to dashboard Cite

show abstract

“…[21]; implementation details are described in Ref. [22]. The Navier-Stokes equations are solved on a fixed Cartesian grid by a projection method.…”

Section: Methodsmentioning

confidence: 99%

Rotational dynamics of a particle in a turbulent stream

2019

View full text Add to dashboard Cite

The paper presents results for the resolved numerical simulation of a turbulent flow past a homogeneous sphere and a spherical shell of equal mass and radius (and, therefore, with a larger moment of inertia) free to rotate around a fixed center. This situation approximates the behavior of a particle whose relative motion with respect to the fluid is driven by external forces, such as a density difference in a gravitational field. Holding the center fixed makes it possible to have precise information on the turbulent flow incident on the particle by repeating the same simulations without the particle. Two particle Reynolds numbers based on the mean velocity, Re p = 80 and 150, are investigated; the incident turbulence has Re λ = 36 and 31, respectively. The particle diameter is an order of magnitude larger than the Kolmogorov length scale and close to the integral length scale. The turbulent eddies that interact most strongly with the particle are characterized. Their size is found to increase with Re p due to the interplay of the convection timescale, the particle timescale, and the eddy timescale, but it remains of the order of the particle diameter. The sign of the hydrodynamic torque is likely to persist much less than the convection time, although longer durations are also found, revealing the effect of occasional interactions with larger eddies. The autocorrelation of the torque changes sign at shorter and shorter fractions of the convection time as the Reynolds number increases. Significant cross-stream forces are found. An analysis of their magnitude shows that they are mostly due to induced vortex shedding combined with a weaker Magnus-like mechanism.

show abstract

“…Here we describe a straightforward implementation of the mathematical model formulated in the previous section. Since much of it is the same as for the isothermal physalis implementation, which is described in detail in several earlier papers [16,35,36], we focus here mainly on the novel aspects that are introduced by the energy equation.…”

Section: Methodsmentioning

confidence: 99%

“…The scalar products in ( 16) are effected by the same Lebedev quadrature method used e.g. for (7) and described in [35] and [36]. The temperature at the quadrature nodes is obtained by linear interpolation from the surrounding nodes.…”

Section: Methodsmentioning

confidence: 99%

Fully-resolved simulation of particulate flows with particles–fluid heat transfer

Wang

Sierakowski

Prosperetti

2017

Journal of Computational Physics

Self Cite

View full text Add to dashboard Cite

GPU-centric resolved-particle disperse two-phase flow simulation using the Physalis method

Cited by 9 publications

References 27 publications

Resolved-particle simulation by the Physalis method: Enhancements and new capabilities

Resolved-particle simulation by the Physalis method: Enhancements and new capabilities

Rotational dynamics of a particle in a turbulent stream

Fully-resolved simulation of particulate flows with particles–fluid heat transfer

Contact Info

Product

Resources

About