A 3D parallel Particle-In-Cell solver for wave interaction with vertical cylinders

Chen, Qiang; Zang, Jun; Kelly, David M.; Dimakopoulos, A.

doi:10.1016/j.oceaneng.2017.10.023

Cited by 23 publications

(25 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The parallel performance of CEST on the 4-day simulation of Hurricane Irma (2017) was examined using the parallel efficiency (E p ) and speedup (S p ) coefficients. The coefficients are defined following Chen et al (2018):…”

Section: Computational Cost and Parallel Efficiencymentioning

confidence: 99%

Hurricane Irma Simulation at South Florida Using the Parallel CEST Model

Li¹,

Chen²,

Kelly³

et al. 2021

Front. Clim.

Self Cite

View full text Add to dashboard Cite

In this study, a parallel extension of the Coastal and Estuarine Storm Tide (CEST) model is developed and applied to simulate the storm surge tide at South Florida induced by hurricane Irma occurred in 2017. An improvement is also made to the existing advection algorithm in CEST. This is achieved through the introduction of high-order, monotone Semi-Lagrangian advection. Distributed memory parallelization is developed via the Message Passing Interface (MPI) library. The parallel CEST model can therefore be run efficiently on machines ranging from multicore laptops to massively High Performance Computing (HPC) system. The principle advantage of being able to run the CEST model on multiple cores is that relatively low run-time is possible for real world storm surge simulations on grids with high resolution, especially in the locality where the hurricane makes landfall. The computational time is critical for storm surge model forecast to finish simulations in 30 min, and results are available to users before the arrival of the next advisory. In this study, simulation of hurricane Irma induced storm surge was approximately 22 min for 4 day simulation, with the results validated by field measurements. Further efficiency analysis reveals that the parallel CEST model can achieve linear speedup when the number of processors is not very large.

show abstract

Section: Computational Cost and Parallel Efficiencymentioning

confidence: 99%

Hurricane Irma Simulation at South Florida Using the Parallel CEST Model

Li¹,

Chen²,

Kelly³

et al. 2021

Front. Clim.

Self Cite

View full text Add to dashboard Cite

show abstract

“…A gain of CPU time is possible by solving the Poisson's equation on a Cartesian grid. This SPH‐mesh coupling is equivalent to the particle in cell method introduced by Harlow in 1955 59‐62 . In this work, we propose to use the work by Ramos Ortega et al for developing a ISPH method to study the damp of a waves train on an inclined porous structure.…”

Section: Introductionmentioning

confidence: 99%

Modified incompressible smooth particle hydrodynamics in porous media method for modeling the damping of a waves train on an inclined porous structure

Ortega

Beaudoin

2021

Numerical Methods in Fluids

View full text Add to dashboard Cite

In this work, the ISPHP method proposed by Akbari and Namin in 2013 has been modified by implementing the Taylor expansion of a classical smoothing function. The modified ISPHP method with the Taylor expansion of the smoothing function, the optimization of the solving of Poisson's equation and the wave maker, has been used to simulate the damping of a waves train on an inclined porous structure. The comparison between the numerical results obtained with the modified ISPHP method and the experimental data obtained by Carrasco et al. in 2020 has shown on the one hand that the modified ISPHP method could be used to study the damping of a waves train on an inclined porous structure and on the other hand that the dimensionless number χ could be used to characterize the energy transformations of the interaction of a waves train and an inclined porous structure.

show abstract

“…The particles are used to solve the transport of fluid properties in a Lagrangian manner, while other nonadvection terms are resolved on the underlying grid. 1,30,31 The structure of the article is as follows. In Section 2, we describe the SPH methods implemented to solve the Navier-Stokes equations, WCSPH, and optimized ISPH (free-divergence and density invariance) methods.…”

Section: Introductionmentioning

confidence: 99%

“…This method is based on a combined use of grid and particles. The particles are used to solve the transport of fluid properties in a Lagrangian manner, while other nonadvection terms are resolved on the underlying grid 1,30,31 …”

Section: Introductionmentioning

confidence: 99%

Optimized incompressible smoothed particle hydrodynamics methods and validations

Ortega¹,

Beaudoin²,

Huberson³

2020

Numerical Methods in Fluids

View full text Add to dashboard Cite

The solution of the Poisson's equation used by the incompressible smoothed particle hydrodynamics (ISPH) methods for estimating the pressure field is expensive in CPU time. The CPU time, consumed by the inversion of the operator ∇(1∕ ∇) and the estimation of the right hand side of the Poisson's equation, increases with the number N of particles used in a purely Lagrangian framework. In this work, this default of ISPH methods is overcome by solving the Poisson's equation on a Cartesian grid. This SPH-mesh coupling is equivalent to the particle in cell method. In a first step, in order to analyze its efficiency, the optimized version of two ISPH methods (divergence free and density invariant) is compared with the standard weakly compressible SPH method through two benchmarks of incompressible bidimensional flows characterized by the Reynolds number Re, Lamb-Oseen vortex (10 ≤ Re ≤ 100) and lid-driven cavity flow (100 ≤ Re ≤ 1000). In a second step, the numerical results obtained by the three SPH methods are compared to laboratory experimental data of a dam break flow in order to show the performance of the SPH-mesh coupling in a practical and complex flow problem. As in the configuration of the experimental setup, the numerical results are obtained for a Reynolds number Re = 3.8 10 6 .

show abstract

A 3D parallel Particle-In-Cell solver for wave interaction with vertical cylinders

Cited by 23 publications

References 31 publications

Hurricane Irma Simulation at South Florida Using the Parallel CEST Model

Hurricane Irma Simulation at South Florida Using the Parallel CEST Model

Modified incompressible smooth particle hydrodynamics in porous media method for modeling the damping of a waves train on an inclined porous structure

Optimized incompressible smoothed particle hydrodynamics methods and validations

Contact Info

Product

Resources

About