Abstract
The FPM, as a variant form of SPH, uses a set of auxiliary kernels for consistent interpolations of the basic unknown function and its spatial gradient, which can expel the boundary deficiency-induced errors. Acquisition of the auxiliary kernels is detailed, and their basic properties are discussed. The governing equations for motion of a particle system are derived in an alternative way based on the weak-form momentum equation. This approach is advantageous in easy treatment of free-surface boundary condition. For taking account of realistic viscosity effects in low Reynolds number flows, the Morris-type viscosity is implemented. A modified particle shift technology (PST) and a gradient-free artificial density diffusion technique are proposed for stabilizing the numerical scheme and for better solutions. Numerical examples are presented to demonstrate the effectiveness of the proposed PST and artificial density diffusion, as well as the capability and efficiency of the proposed numerical model in solving low and medium Reynolds number flow problems.
Similar content being viewed by others
References
Lucy LB (1977) A numerical approach to the testing of fission hypothesis. Astron J 82(12):1013–1024
Monaghan JJ, Gingold RA (1983) Shock simulation by the particle method SPH. J Comput Phys 52:374–389
Liebersky LD, Petschek AG (1991) Smoothed particle hydrodynamics with strength of materials. Adv Free-Lagrange Method Lect Notes Phys 395:248–257. https://doi.org/10.1007/3-540-54960-9_58
Chen D, Huang W, Lyamin A (2020) Finite particle method for static deformation problems solved using JFNK method. Comput Geotech 122:103502
Monaghan JJ (1992) Smoothed particle hydrodynamics. Annu Rev Astron Astr 30(1):543–574
Chen D, Huang W, Huang D, Liang C (2023) An adaptive multi-resolution SPH approach for three-dimensional free-surface flow with fluid impacting. Eng Anal Bound Elem 155:642–651
Chen D, Huang W, Sloan SW (2019) An alternative updated Lagrangian formulation for finite particle method. Comput Method Appl Mech Eng 343:490–505
Yao X, Zhang X, Huang D (2023) An improved SPH-FEM coupling approach for modeling fluid–structure interaction problems. Comput Part Mech 10(2):313–330
Chen JK, Beraun JE, Carney TC (1999) A corrective smoothed particle method for boundary value problems in heat conduction. Int J Numer Meth Eng 46(2):231–252
Bonet J, Lok T-SL (1999) Variational and momentum preservation aspects of smooth particle hydrodynamic formulations. Comput Method Appl Mech Eng 180(1–2):97–115
Liu WK, Jun S, Zhang YF (1995) Reproducing kernel particle method. Int J Numer Methods Fluids 20:1081–1106
Liu MB, Liu GR (2005) Restoring particle consistency in smoothed particle hydrodynamics. Appl Numer Math 56(1):19–36
Huang C, Zhang DH, Shi YX, Si YL, Huang B (2018) Coupled finite particle method with a modified particle shifting technology. Int J Numer Meth Eng 113(2):179–207
Yang PY, Huang C, Zhang ZL, Long T, Liu MB (2021) Simulating natural convection with high Rayleigh numbers using the smoothed particle hydrodynamics method. Int J Heat Mass Tra 166(2):120758
Marrone S, Antuono M, Colagrossi A, Colicchio G, Le Touzé D, Graziani G (2011) δ-SPH model for simulating violent impact flows. Comput Method Appl Mech Eng 200:1526–1542
Xu R, Stansby P, Laurence D (2009) Accuracy and stability in incompressible SPH (ISPH) based on the projection method and a new approach. J Comput Phys 228:6703–6725
Sun PN, Colagrossi A, Zhang AM (2018) Numerical simulation of the self-propulsive motion of a fishlike swimming foil using the δ+-SPH model. Theor Appl Mech Lett 8(2):115–125
Huang C, Zhao L, Niu JP, Di JJ, Zhao QL, Zhang FQ, Zhang ZH, Lei JM, He GP (2022) Coupled particle and mesh method in a Euler frame for unsteady flows around the pitching airfoil. Eng Anal Bound Elem 138:159–176
Mas-Gallic S, Raviart PA (1987) A particle method for first-order symmetric system. Numer Math 51:323–352
Adami S, Hu XY, Adams NA (2012) A generalized wall boundary condition for smoothed particle hydrodynamics. J Comput Phys 231(21):7057–7075
Batchelor GK (1973) An introduction to fluid dynamics. Cambridge University Press, Cambridge
Monaghan JJ (1994) Simulating free surface flows with SPH. J Comput Phys 110(2):399–406
Von Neumann J, Richtmyer RD (1950) A method for the numerical calculation of hydrodynamic shocks. J Appl Phys 21:232–237
Bui HH, Fukagawa R, Sako K, Shintaro OS (2008) Lagrangian meshfree particles method (SPH) for large deformation and failure flows of geomaterial using elastic–plastic soil constitutive model. Int J Numer Anal Methods Geomech 32:1537–1570
Morris JP, Fox PJ, Zhu Y (1997) Modelling low Reynolds number incompressible flows using SPH. J Comput Phys 136:214–226
Nguyen CT, Nguyen CT, Bui HH, Nguyen GD, Fukagawa R (2017) A new SPH-based approach to simulation of granular flows using viscous damping and stress regularization. Landslides 14(1):69–81
Antuono M, Colagrossi A, Marrone S, Molteni D (2010) Free-surface flows solved by means of SPH schemes with numerical diffusive terms. Comput Phys Commun 181(3):532–549
Le Touzé D, Colagrossi A, Colicchio G, Greco M (2013) A critical investigation of smoothed particle hydrodynamics applied to problems with free-surfaces. Int J Numer Methods Fluids 73:660–691
Lobovský L, Botia-Vera E, Castellana F, Mas-Soler J, Souto-Iglesias A (2014) Experimental investigation of dynamic pressure loads during dam break. J Fluid Struct 48:407–434
Glowinski R, Pan TW, Hesla TI, Joseph DD, Périaux J (2001) A fictitious domain approach to the direct numerical simulation of incompressible viscous flow past moving rigid bodies: application to particulate flow. J Comput Phys 169(2):363–426
Acknowledgements
The research has been financially supported by the National Natural Science Foundation of China (Grant Nos. 12302257, 11772117), which is gratefully acknowledged, Jiangsu Funding Program for Excellent Postdoctoral Talent (No.2022ZB160).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Chen, D., Huang, W. & Liang, C. A SPH method of high accuracy and efficiency for low and medium Reynolds number flow problems. Comp. Part. Mech. (2023). https://doi.org/10.1007/s40571-023-00682-y
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s40571-023-00682-y