An accurate SPH Volume Adaptive Scheme for modeling strongly-compressible multiphase flows. Part 1: Numerical scheme and validations with basic 1D and 2D benchmarks

Abstract In the present work, the single-phase and weakly-compressible δ-SPH  model is further extended to simulate multiphase and strongly-compressible flows. This is motivated by the fact that traditional SPH models can meet some difficulties when modeling strongly-compressible flows with large volume variations (e.g. expansion and collapse of cavitation bubbles). Due to the strong compressibility of the fluid, the energy equation should be considered in the governing equations. In that case, the pressure is solved based on both density and internal energy. To stabilize the pressure field, density and energy diffusive terms should be applied. Large variations of particle volumes in the compressible phase would result in large variations of particle spacing. Therefore, particle smoothing lengths are adjusted in time to maintain appropriate neighboring particles. To ensure good properties of accuracy and conservation when particles with different smoothing lengths interact, corrected SPH operators are utilized to discretize the governing equations. Moreover, in order to limit the particle volume variations and maintain a homogeneous volume distribution in the entire flow field, especially near the interface between different phases of different compressibility, a new volume adaptive scheme is proposed to control particle volumes. The volumes which are over-expanded or over-compressed will be split or merged with others, maintaining a small particle volume variation in the flow. Finally, the proposed SPH model is validated with several challenging benchmarks including expansion and collapse of underwater-explosion bubbles or cavitation bubbles. All the SPH results are compared with other numerical solutions with good agreements.

[1]  Guirong Liu,et al.  Smoothed Particle Hydrodynamics (SPH): an Overview and Recent Developments , 2010 .

[2]  Hitoshi Gotoh,et al.  Comparative study on accuracy and conservation properties of two particle regularization schemes and proposal of an optimized particle shifting scheme in ISPH context , 2017, J. Comput. Phys..

[3]  A. Colagrossi,et al.  A consistent approach to particle shifting in the δ-Plus-SPH model , 2019, Computer Methods in Applied Mechanics and Engineering.

[4]  W. Benz Smooth Particle Hydrodynamics: A Review , 1990 .

[5]  Jie Ouyang,et al.  A mixed corrected symmetric SPH (MC-SSPH) method for computational dynamic problems , 2012, Comput. Phys. Commun..

[6]  Hamid Bahai,et al.  Multi-resolution MPS method , 2018, J. Comput. Phys..

[7]  Nikolaus A. Adams,et al.  An incompressible multi-phase SPH method , 2007, J. Comput. Phys..

[8]  Gretar Tryggvason,et al.  A front-tracking method with projected interface conditions for compressible multi-fluid flows , 2010 .

[9]  Rui Han,et al.  3D full coupling model for strong interaction between a pulsating bubble and a movable sphere , 2019, J. Comput. Phys..

[10]  Abbas Khayyer,et al.  On the state-of-the-art of particle methods for coastal and ocean engineering , 2018 .

[11]  Salvatore Marrone,et al.  SPH accuracy improvement through the combination of a quasi-Lagrangian shifting transport velocity and consistent ALE formalisms , 2016, J. Comput. Phys..

[12]  Song-Charng Kong,et al.  Adaptive resolution for multiphase smoothed particle hydrodynamics , 2018, Comput. Phys. Commun..

[13]  Furen Ming,et al.  An SPH modeling of bubble rising and coalescing in three dimensions , 2015 .

[14]  L. Chiron,et al.  Analysis and improvements of Adaptive Particle Refinement (APR) through CPU time, accuracy and robustness considerations , 2018, J. Comput. Phys..

[15]  Nikolaus A. Adams,et al.  A multi-phase SPH method for macroscopic and mesoscopic flows , 2006, J. Comput. Phys..

[16]  Rui Xu,et al.  Accuracy and stability in incompressible SPH (ISPH) based on the projection method and a new approach , 2009, J. Comput. Phys..

[17]  Bertrand Alessandrini,et al.  An improved SPH method: Towards higher order convergence , 2007, J. Comput. Phys..

[18]  A. Colagrossi,et al.  Numerical simulation of interfacial flows by smoothed particle hydrodynamics , 2003 .

[19]  Dan Negrut,et al.  A consistent multi-resolution smoothed particle hydrodynamics method , 2017, 1704.04260.

[20]  Shuaijun Li,et al.  Bubble interactions and bursting behaviors near a free surface , 2019, Physics of Fluids.

[21]  Salvatore Marrone,et al.  Fast free-surface detection and level-set function definition in SPH solvers , 2010, J. Comput. Phys..

[22]  Hitoshi Gotoh,et al.  Enhancement of performance and stability of MPS mesh-free particle method for multiphase flows characterized by high density ratios , 2013, J. Comput. Phys..

[23]  S. J. Lind,et al.  Incompressible smoothed particle hydrodynamics for free-surface flows: A generalised diffusion-based algorithm for stability and validations for impulsive flows and propagating waves , 2012, J. Comput. Phys..

[24]  J. Monaghan Smoothed Particle Hydrodynamics and Its Diverse Applications , 2012 .

[25]  David Le Touzé,et al.  Adaptive particle refinement and derefinement applied to the smoothed particle hydrodynamics method , 2014, J. Comput. Phys..

[26]  A. Zhang,et al.  Small-charge underwater explosion bubble experiments under various boundary conditions , 2016 .

[27]  A. Colagrossi,et al.  Detailed study on the extension of the δ-SPH model to multi-phase flow , 2020 .

[28]  Salvatore Marrone,et al.  Numerical diffusive terms in weakly-compressible SPH schemes , 2012, Comput. Phys. Commun..

[29]  Nikolaus A. Adams,et al.  A new class of adaptive high-order targeted ENO schemes for hyperbolic conservation laws , 2018, J. Comput. Phys..

[30]  Theo G. Theofanous,et al.  Adaptive characteristics-based matching for compressible multifluid dynamics , 2006, J. Comput. Phys..

[31]  Nikolaus A. Adams,et al.  A generalized wall boundary condition for smoothed particle hydrodynamics , 2012, J. Comput. Phys..

[32]  A. Colagrossi,et al.  Numerical simulation of the self-propulsive motion of a fishlike swimming foil using the δ+-SPH model , 2018 .

[33]  Keh-Ming Shyue,et al.  A wave-propagation based volume tracking method for compressible multicomponent flow in two space dimensions , 2006, J. Comput. Phys..

[34]  Ronald Fedkiw,et al.  A review of level-set methods and some recent applications , 2018, J. Comput. Phys..

[35]  A. Zhang,et al.  The suction effect during freak wave slamming on a fixed platform deck: Smoothed particle hydrodynamics simulation and experimental study , 2019, Physics of Fluids.

[36]  S. Osher,et al.  Efficient implementation of essentially non-oscillatory shock-capturing schemes,II , 1989 .

[37]  Ashkan Rafiee,et al.  A simple SPH algorithm for multi‐fluid flow with high density ratios , 2013 .

[38]  A. Colagrossi,et al.  Challenges on the numerical prediction of slamming loads on LNG tank insulation panels , 2017 .

[39]  Shuaijun Li,et al.  Numerical investigation of an underwater explosion bubble based on FVM and VOF , 2018 .

[40]  Javier Bonet,et al.  Dynamic refinement and boundary contact forces in SPH with applications in fluid flow problems , 2007 .

[41]  A. Zhang,et al.  Study of a complex fluid-structure dam-breaking benchmark problem using a multi-phase SPH method with APR , 2019, Engineering Analysis with Boundary Elements.

[42]  J. Monaghan Smoothed particle hydrodynamics , 2005 .

[43]  A. Zhang,et al.  Analysis of breaking and re-closure of a bubble near a free surface based on the Eulerian finite element method , 2018, Computers & Fluids.

[44]  A. Colagrossi,et al.  Smoothed particle hydrodynamics and its applications in fluid-structure interactions , 2017 .

[45]  Ratnesh K. Shukla,et al.  Nonlinear preconditioning for efficient and accurate interface capturing in simulation of multicomponent compressible flows , 2014, J. Comput. Phys..

[46]  Salvatore Marrone,et al.  Free-surface flows solved by means of SPH schemes with numerical diffusive terms , 2010, Comput. Phys. Commun..

[47]  Nikolaus A. Adams,et al.  On the HLLC Riemann solver for interface interaction in compressible multi-fluid flow , 2009, J. Comput. Phys..

[48]  J. Bonet,et al.  Variational and momentum preservation aspects of Smooth Particle Hydrodynamic formulations , 1999 .

[49]  Q. X. Wang,et al.  University of Birmingham Experimental study on bubble dynamics subject to buoyancy , 2015 .

[50]  L. Libersky,et al.  Smoothed Particle Hydrodynamics: Some recent improvements and applications , 1996 .

[51]  Hitoshi Gotoh,et al.  A Multiphase Compressible-Incompressible Particle Method for Water Slamming , 2016 .

[52]  Bo Li,et al.  GPU-accelerated adaptive particle splitting and merging in SPH , 2013, Comput. Phys. Commun..

[53]  David Le Touzé,et al.  An Hamiltonian interface SPH formulation for multi-fluid and free surface flows , 2009, J. Comput. Phys..

[54]  Benedict D. Rogers,et al.  Incompressible-compressible flows with a transient discontinuous interface using smoothed particle hydrodynamics (SPH) , 2016, J. Comput. Phys..

[55]  David Le Touzé,et al.  An accurate SPH Volume Adaptive Scheme for modeling strongly-compressible multiphase flows. Part 2: Extension of the scheme to cylindrical coordinates and simulations of 3D axisymmetric problems with experimental validations , 2021, J. Comput. Phys..

[56]  J. Monaghan Smoothed particle hydrodynamics , 2005 .

[57]  M. Fivel,et al.  Bubble collapse induced cavitation erosion: Plastic strain and energy dissipation investigations , 2020, Journal of the Mechanics and Physics of Solids.

[58]  Salvatore Marrone,et al.  The δplus-SPH model: Simple procedures for a further improvement of the SPH scheme , 2017 .

[59]  Saira F. Pineda,et al.  Simulation of a gas bubble compression in water near a wall using the SPH-ALE method , 2019, Computers & Fluids.

[60]  Abbas Khayyer,et al.  A projection-based particle method with optimized particle shifting for multiphase flows with large density ratios and discontinuous density fields , 2019, Computers & Fluids.

[61]  M. Fivel,et al.  SPH modelling of a cavitation bubble collapse near an elasto-visco-plastic material , 2019, Journal of the Mechanics and Physics of Solids.

[62]  Nikolaus A. Adams,et al.  A family of high-order targeted ENO schemes for compressible-fluid simulations , 2016, J. Comput. Phys..

[63]  Mostafa Safdari Shadloo,et al.  Smoothed particle hydrodynamics method for fluid flows, towards industrial applications: Motivations, current state, and challenges , 2016 .

[64]  W. Bai,et al.  A particle method for two‐phase flows with compressible air pocket , 2016 .

[65]  Moubin Liu,et al.  Meshfree modeling of a fluid‐particle two‐phase flow with an improved SPH method , 2018, International Journal for Numerical Methods in Engineering.

[66]  A. M. Zhang,et al.  Improved three-dimensional bubble dynamics model based on boundary element method , 2015, J. Comput. Phys..

[67]  Petros Koumoutsakos,et al.  Remeshed smoothed particle hydrodynamics for the simulation of viscous and heat conducting flows , 2002 .

[68]  Salvatore Marrone,et al.  Multi-resolution Delta-plus-SPH with tensile instability control: Towards high Reynolds number flows , 2017, Comput. Phys. Commun..

[69]  A. Colagrossi,et al.  δ-SPH model for simulating violent impact flows , 2011 .

[70]  Benedict D. Rogers,et al.  Variable resolution for SPH: A dynamic particle coalescing and splitting scheme , 2013 .

[71]  R. Menikoff,et al.  The Riemann problem for fluid flow of real materials , 1989 .

[72]  B. Rogers,et al.  A multi-phase particle shifting algorithm for SPH simulations of violent hydrodynamics with a large number of particles , 2017 .