Smoothed particle hydrodynamics on GPU computing

Smoothed Particle Hydrodynamics (SPH) is a powerful technique used to simulate complex free-surface flows. However one of the main drawbacks of this method is the expensive computational runtime and the large number of particles needed when 3D simulations are performed. High Performance Computing (HPC) therefore becomes essential to accelerate these codes and perform simulations. In this study, parallelization using Graphics Processing Units (GPU) is applied to the SPHysics code (www.sphysics.org) dedicated to free-surface flows with SPH. Simulations involving several million particles on a single GPU exhibit speedups of up to two orders of magnitude over the same calculations using CPU codes, while parallelization using MPI for multi-GPU leads to further acceleration. This cheap technology allows studying real-life engineering problems at reasonable computational runtimes

Uso de la técnica SPH para el estudio de la interacción entre olas y estructuras

[ES] Se muestra la potencialidad del método SPH (Smoothed Particle Hydrodynamics) para el tratamiento de la interacción entre olas y estructuras. En particular, se estudia el proceso de rebase de una ola sobre una estructura horizontal paralela a la superficie del agua en reposo mediante una versión bidimensional del código y la colisión de una ola solitaria con una estructura vertical delgada mediante una versión tridimensional. En ambos casos se muestra cómo el modelo reproduce tanto cualitativa como cuantitativamente diferentes experimentos de laboratorio.Gómez Gesteira, M.; Dalrymple, R.; Crespo, A.; Cerqueiro, D. (2004). Uso de la técnica SPH para el estudio de la interacción entre olas y estructuras. Ingeniería del agua. 11(2):147-170. https://doi.org/10.4995/ia.2004.2525OJS147170112Baarholm, R.J., 2001. Theoretical and Experimental Studies of Wave Impact underneath Decks of Offshore Platforms.Batchelor, G. K., 1974. Introduction to fluid dynamics. Cambridge University Press. 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Joint Industry Project: F(P)SO Green Water Loading. MARIN, May 1997. Volume A2: Technical Report.Buchner, B. and van Ballegoyen, G., 1997b. Joint Industry Project: F(P)SO Green Water Loading. MARIN, May 1997. Volume A3: Scale effect tests.Buchner, B. and van Ballegoyen, G., 1997c. Joint Industry Project: F(P)SO Green Water Loading. MARIN, May 1997. Volume C9: Buchner, B. and van Ballegoyen, G., 1997d. Joint Industry Project: F(P)SO Green Water Loading. MARIN, December 1997. Volume A1: Discussion Report.Cerqueiro, D., Zou, S, Gómez-Gesteira, M, and Dalrymple, R.A. 2004. Boundary conditions generated by static particles in SPH methods. Submitted J. Comput. Phys.Chen, S., Johnson, D.B., Raad, P.E., and Fadda, D., 1997. The Surface Marker and Micro Cell Method. International Journal for Numerical Methods in Fluids, 25, 749-778.Cox, D. T. and Ortega, J. A., 2002. Laboratory observations of green water overtopping a fixed deck. Ocean Engnrg. 29, 1827-1840.Cummins, S. J. and Rudman, M., 1999. An SPH projection meted. J. Comp. Phys. 152, 584-607.Dalrymple, R.A. and Knio, O., 2000. SPH Modelling of Water Waves. Proc. Coastal Dynamics, Lund, 779-787Dalrymple, R. A., Knio, O., Cox, D. T., Gomez-Gesteira, M. and Zou, S., 2002. Using a Lagrangian particle method for deck overtopping. Proc. Waves 2001, ASCE. 1083- 1091.Durisen, R. H., Gingold, R. A. and Boss, A. P., 1986. Dynamic Fission Instabilities in Rapidly Rotating n=3/2 Polytropes: A Comparison of Results from Finite-difference and Smoothed Particle Hydrodynamics Codes. Astron. J. 305, 281- 308.Evrard A.E., 1988. Beyond N-body: 3D cosmological gas dynamics. Mon. Not. R. Astr. Soc., 235, 911- 934.Faber, J.A and Manor, J.B., 2001. Post Newtonian SPH Calculations of Binary Neutron Star Coalescence. II. Mass- ratio, equation of state and spin. Physical Review D (63), 044012 (1-16)Faber, J.A and Rasio, F.A., 2000. Post Newtonian SPH Calculations of Binary Neutron Stars Coalescence. Method and First Results. Physical Review D (62) 064012 (1-23)Faltinsen, O.M., Greco, M. and Landrini, M., 2001. Green water loading on a FPSO. JOMAE Special Issue.Fontaine, E., 2000. On the use of smoothed particle hydrodynamics to model extreme waves and their interaction with structures. Proc. Rogue Waves 2000, Brest, France. www.ifremer.fr/metocean/conferences/wk.htmlGingold, A. and Monaghan, J. J., 1977. Smoothed Particle Hydrodynamics: theory and application to non-spherical stars. Mon. Not. R. Astr. Soc. 181, 375-389.Gómez-Gesteira, M. and Dalrymple, R., 2004. Using a 3D SPH method for wave impact on a tall structure. J. Wtrwy. Port, Coastal and Ocean Engrg.130(2), 63-69Gómez-Gesteira, M., Cerqueiro, D., Crespo, C. and Dalrymple, R.A. 2004. Green water overtopping analyzed with a SPH model. To appear in Ocean Engineering.Gotoh, H. and Sakai, T., 1999. Lagrangian simulation of breaking waves using particle meted. Coastal Eng. J. 41(3&4), 303-326.Gotoh, H. and Fredsoe, J., 2000. Lagrangian two- phase flow model of the settling behavior of fine sediment dumped into water. In Coastal Engineering 2000, 3906-3919.Gotoh, H., Shibahara, T. and Sakai, T., 2001. Sub- particlescale turbulence model for the MPS method- lagrangian flow model for hydraulic engineering. Computational Fluid Dybanics Journal 9(4) 339- 347.Gotoh, H., Sakai, T and Hayashi, M., 2002. J. Of Hydroscience and Hydraulic Engineering 20(1) 95-102.Greco, M., 2001. A Two-Dimensional Study of Green-Water Loading. Ph. D. Thesis.Johnson, G.R,. Stryk, R.A. and Beissel S.R., 1996. SPH for high velocity impact computations. Comput. Methods Applo. Mech. Eng ., 139, 347- 373.Habe, A., 1989. In Status Rep. Super Computing Japan, ed. T. Nakamura, M. Nagasawa. National Lab. High Energy Phys.Health & Safety Executive. 2001. Analysis of green water susceptibility of FPSO/FSU's on UKCS. HSE Books, Sudbury.Herant, M. and Benz, W., 1991. Hydrodynamical instabilities and mixing in SN 1987A - Two-dimensional simulations of the first 3 months. Astrophysical Journal, 370, 81-84Hsu, T., -J, Sakakiyama, T. and Liu, P.L.-F., 2002. A numerical model for waves and turbulence flow in front of a composite breakwater. Coastal Emgrg., 46, 25-50.Lahy, N., 1989. A particle method for relativistic fluid mechanics. MSc. Thesis. Monash Univ.Libersky, L.D. and Petscheck, A.G., 1991. Smoothed particle hydrodynamics with strength oif materials. Proceedings of the Next Free Lagrange Conference, Vol. 395, Trease, H, Fritts, J and Crowley, W (eds.), Springer- Verlag, 248- 257.Libersky, L.D. and Petscheck, A.G., 1993. High strain Lagrangian hydrodynamics- a three- dimensional SPH code for dynamic material response. J. Comput. Phys. 109, 67- 75.Liu, G.R., 2003. Mesh Free Methods. Moving Beyond the Finite Element Method. CRC Press.Lucy, L., 1977. A numerical approach to the testing of the fission hypothesis. Astron. 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Coastal Engrg., 44, 117-139.Shapiro P.R., Martel H., Villumsen J.V., and Owen J.M., 1996. Adaptive Smoothed Particle Hydrodynamics, with Application to Cosmology: Methodology. Astrophysical Journal Supplement 103, .269- 330Stellingwerf, R. F. and Peterkin, R. E., 1990. Smooth particle magnetohydrodynamics. Tech. Rep. MRC/ABQ-R-1248. Albuquerque: Mission Res. Corp.Swelgle, K.S. and Attaway, S.W., 1995. On the feasibility of using smoothed particle hydrodynamics for underwater explotion calculation. Comput- Mech., 17, 151- 168.Trulsen, K., Spjelkavik, B. and Mehlum, E., 2002. Green water computed with a spline-based collocation method for potential flow. Intl. J. Appld. Mech. Engrg. 7(1), 107-123.Wang, Z., Jensen, J. J., Xia, J., 1998. On the Effect of Green Water on Deck on the Wave Bending Moment. Proceedings of the Seventh International Symposium on Practical Design of Ships and Mobile Units, The Hagu

Smoothed particle hydrodynamics on GPU computing

Smoothed Particle Hydrodynamics (SPH) is a powerful technique used to simulate complex free-surface flows. However one of the main drawbacks of this method is the expensive computational runtime and the large number of particles needed when 3D simulations are performed. High Performance Computing (HPC) therefore becomes essential to accelerate these codes and perform simulations. In this study, parallelization using Graphics Processing Units (GPU) is applied to the SPHysics code (www.sphysics.org) dedicated to free-surface flows with SPH. Simulations involving several million particles on a single GPU exhibit speedups of up to two orders of magnitude over the same calculations using CPU codes, while parallelization using MPI for multi-GPU leads to further acceleration. This cheap technology allows studying real-life engineering problems at reasonable computational runtimes