Abstract
In this study, a non-local partial Peridynamic mesh-free incompressible method is proposed for simulating dry dense granular flows such as granular column collapse. In the method, a predictor-and-corrector time splitting scheme is used, and Peridynamic theory is incorporated only in the predictor to solve an integrated momentum equation, in which part of the pressure gradient force, viscous force and external force are included. An incompressible explicit solver is employed to obtain the pressure field, and the corrector allows for the remaining part of the pressure gradient force to be calculated and updates the flow field. The proposed method is then validated by simulating granular flows in several configurations, including a steady granular flow down an inclined slope, granular column collapses at both one side and two sides, and collision of two adjacent granular columns. The simulated velocity profiles are in good agreement with the analytical solution in the steady granular down an inclined slope in which sensitivity of the particle distance, a coefficient by incorporating Peridynamics, and Peridynamic horizon are examined. The simulation of the granular column collapses shows that the method can reproduce the final deposit, free surface, and velocity in the flows. The method can capture interface variations between two granular columns during their collision in good agreement with experimental observations.
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Data availability
The data generated in the present study are available from the corresponding authors on reasonable request.
References
Balmforth NJ, Kerswell RR (2005) Granular collapse in two dimensions. J Fluid Mech 538:399
Bessa MA, Foster JT, Belytschko T, Liu WK (2014) A meshfree unification: reproducing kernel peridynamics. Comput Mech 53(6):1251–1264
Bouzid M, Izzet A, Trulsson M, Clément E, Claudin P, Andreotti B (2015) Non-local rheology in dense granular flows. Eur Phys J E 38(11):1–15
Bui HH, Nguyen GD (2017) A coupled fluid-solid SPH approach to modelling flow through deformable porous media. Int J Solids Struct 125:244–264
Bui HH, Nguyen GD (2021) Smoothed particle hydrodynamics (SPH) and its applications in geomechanics: from solid fracture to granular behaviour and multiphase flows in porous media. Comput Geotech 138:104315
Chambon G, Bouvarel R, Laigle D, Naaim M (2011) Numerical simulations of granular free-surface flows using smoothed particle hydrodynamics. J Nonnewton Fluid Mech 166(12–13):698–712
Chauchat J, Médale M (2014) A three-dimensional numerical model for dense granular flows based on the μ (I) rheology. J Comput Phys 256:696–712
Coquand O, Sperl M, Kranz WT (2020) Integration through transients approach to the μ (I) rheology. Phys Rev E 102(3):032602
Courant R, Friedrichs K, Lewy H (1967) On the partial difference equations of mathematical physics. IBM J Res Dev 11(2):215–234
Daly E, Grimaldi S, Bui HH (2016) Explicit incompressible SPH algorithm for free-surface flow modelling: a comparison with weakly compressible schemes. Adv Water Resour 97:156–167
Dsouza PV, Nott PR (2020) A non-local constitutive model for slow granular flow that incorporates dilatancy. J Fluid Mech. https://doi.org/10.1017/jfm.2020.62
Dunatunga S, Kamrin K (2015) Continuum modelling and simulation of granular flows through their many phases. J Fluid Mech 779:483–513
Fan H, Li S (2017) A Peridynamics-SPH modeling and simulation of blast fragmentation of soil under buried explosive loads. Comput Methods Appl Mech Eng 318:349–381
Feng R, Fourtakas G, Rogers BD, Lombardi D (2021) Large deformation analysis of granular materials with stabilized and noise-free stress treatment in smoothed particle hydrodynamics (SPH). Comput Geotech 138:104356
Galindo-Torres SA (2013) A coupled Discrete Element Lattice Boltzmann Method for the simulation of fluid–solid interaction with particles of general shapes. Comput Methods Appl Mech Eng 265:107–119
Gao W, Matsunaga T, Duan G, Koshizuka S (2021) A coupled 3D isogeometric/least-square MPS approach for modeling fluid–structure interactions. Comput Methods Appl Mech Eng 373:113538
Gesenhues L, Behr M (2021) Simulating dense granular flow using the μ (I)-rheology within a space-time framework. Int J Numer Methods Fluids 93:2889
Ha YD, Bobaru F (2010) Studies of dynamic crack propagation and crack branching with peridynamics. Int J Fract 162(1):229–244
Harada E, Gotoh H, Ikari H, Khayyer A (2019) Numerical simulation for sediment transport using MPS-DEM coupling model. Adv Water Resour 129:354–364
He X, Liang D, Bolton MD (2018) Run-out of cut-slope landslides: mesh-free simulations. Géotechnique 68(1):50–63
Henann DL, Kamrin K (2013) A predictive, size-dependent continuum model for dense granular flows. Proc Natl Acad Sci 110(17):6730–6735
Ikari H, Gotoh H (2016) SPH-based simulation of granular collapse on an inclined bed. Mech Res Commun 73:12–18
Islam MRI, Zhang W, Peng C (2022) Large deformation analysis of geomaterials using stabilized total Lagrangian smoothed particle hydrodynamics. Eng Anal Boundary Elem 136:252–265
Jafarzadeh S, Chen Z, Li S, Bobaru F (2019) A peridynamic mechano-chemical damage model for stress-assisted corrosion. Electrochim Acta 323:134795
Jandaghian M, Krimi A, Zarrati AR, Shakibaeinia A (2021) Enhanced weakly-compressible MPS method for violent free-surface flows: Role of particle regularization techniques. J Comput Phys 434:110202
Javili A, McBride AT, Mergheim J, Steinmann P (2021) Towards elasto-plastic continuum-kinematics-inspired peridynamics. Comput Methods Appl Mech Eng 380:113809
Jop P, Forterre Y, Pouliquen O (2006) A constitutive law for dense granular flows. Nature 441(7094):727–730
Kamrin K (2019) Non-locality in granular flow: phenomenology and modeling approaches. Front Phys 7:116
Katiyar A, Foster JT, Ouchi H, Sharma MM (2014) A peridynamic formulation of pressure driven convective fluid transport in porous media. J Comput Phys 261:209–229
Khayyer A, Gotoh H (2010) A higher order Laplacian model for enhancement and stabilization of pressure calculation by the MPS method. Appl Ocean Res 32(1):124–131
Khayyer A, Gotoh H (2011) Enhancement of stability and accuracy of the moving particle semi-implicit method. J Comput Phys 230(8):3093–3118
Koshizuka S (1995) A particle method for incompressible viscous flow with fluid fragmentation. Comput Fluid Dyn J 4:29
Koshizuka S, Nobe A, Oka Y (1998) Numerical analysis of breaking waves using the moving particle semi-implicit method. Int J Numer Meth Fluids 26(7):751–769
Lagrée PY, Staron L, Popinet S (2011) The granular column collapse as a continuum: validity of a two-dimensional Navier-Stokes model with a μ(I)-rheology. J Fluid Mech 686:378–408
Lakshmanan A, Luo J, Javaheri I, Sundararaghavan V (2021) Three-dimensional crystal plasticity simulations using peridynamics theory and experimental comparison. Int J Plast 142:102991
Lee BH, Park JC, Kim MH, Hwang SC (2011) Step-by-step improvement of MPS method in simulating violent free-surface motions and impact-loads. Comput Methods Appl Mech Eng 200(9–12):1113–1125
Lin CC, Yang FL (2020) Continuum simulation for regularized non-local μ (I) model of dense granular flows. J Comput Phys 420:109708
Lipton R, Said E, Jha P (2018) Free damage propagation with memory. J Elast 133(2):129–153
Liu D, Henann DL (2017) Non-local continuum modelling of steady, dense granular heap flows. J Fluid Mech 831:212–227
Liu R, Yan J, Li S (2020) Modeling and simulation of ice–water interactions by coupling peridynamics with updated Lagrangian particle hydrodynamics. Computational Particle Mechanics 7(2):241–255
Matsunaga T, Koshizuka S (2022) Stabilized LSMPS method for complex free-surface flow simulation. Comput Methods Appl Mech Eng 389:114416
GDR MiDi gdrmidi@ polytech. univ-mrs. fr http://www.lmgc.univ-montp2.fr/MIDI/. (2004). On dense granular flows. The European Physical Journal E, 14, 341-365.
Minatti L, Paris E (2015) A SPH model for the simulation of free surface granular flows in a dense regime. Appl Math Model 39(1):363–382
Monaghan JJ (1994) Simulating free surface flows with SPH. J Comput Phys 110(2):399–406
Monaghan JJ (2005) Smoothed particle hydrodynamics. Rep Prog Phys 68(8):1703
Mowlavi S, Kamrin K (2021) Interplay between hysteresis and nonlocality during onset and arrest of flow in granular materials. Soft Matter 17(31):7359–7375
Oger G, Marrone S, Le Touzé D, De Leffe M (2016) SPH accuracy improvement through the combination of a quasi-Lagrangian shifting transport velocity and consistent ALE formalisms. J Comput Phys 313:76–98
Ouchi H, Katiyar A, York J, Foster JT, Sharma MM (2015) A fully coupled porous flow and geomechanics model for fluid driven cracks: a peridynamics approach. Comput Mech 55(3):561–576
Peng C, Wu W, Yu HS, Wang C (2015) A SPH approach for large deformation analysis with hypoplastic constitutive model. Acta Geotech 10(6):703–717
Pouliquen O, Forterre Y (2009) A non-local rheology for dense granular flows. Philos Trans Royal Soc A: Math, Phys Eng Sci 367(1909):5091–5107
Ren H, Zhuang X, Cai Y, Rabczuk T (2016) Dual-horizon peridynamics. Int J Numer Meth Eng 108(12):1451–1476
Ren H, Zhuang X, Rabczuk T (2017) Dual-horizon peridynamics: a stable solution to varying horizons. Comput Methods Appl Mech Eng 318:762–782
Schaeffer DG, Barker T, Tsuji D, Gremaud P, Shearer M, Gray JMNT (2019) Constitutive relations for compressible granular flow in the inertial regime. J Fluid Mech 874:926–951
Shakibaeinia A, Jin YC (2010) A weakly compressible MPS method for modeling of open-boundary free-surface flow. Int J Numer Meth Fluids 63(10):1208–1232
Shakibaeinia A, Jin YC (2012) MPS mesh-free particle method for multiphase flows. Comput Methods Appl Mech Eng 229:13–26
Shimizu Y, Gotoh H, Khayyer A (2018) An MPS-based particle method for simulation of multiphase flows characterized by high density ratios by incorporation of space potential particle concept. Comput Math Appl 76(5):1108–1129
Silling SA (2000) Reformulation of elasticity theory for discontinuities and long-range forces. J Mech Phys Solids 48(1):175–209
Silling SA, Epton M, Weckner O, Xu J, Askari E (2007) Peridynamic states and constitutive modeling. J Elast 88(2):151–184
Tsuruta N, Khayyer A, Gotoh H (2013) A short note on dynamic stabilization of moving particle semi-implicit method. Comput Fluids 82:158–164
Violeau D, Rogers BD (2016) Smoothed particle hydrodynamics (SPH) for free-surface flows: past, present and future. J Hydraul Res 54(1):1–26
Wang PP, Meng ZF, Zhang AM, Ming FR, Sun PN (2019) Improved particle shifting technology and optimized free-surface detection method for free-surface flows in smoothed particle hydrodynamics. Comput Methods Appl Mech Eng 357:112580
Wu P, Zhao J, Chen Z, Bobaru F (2020) Validation of a stochastically homogenized peridynamic model for quasi-static fracture in concrete. Eng Fract Mech 237:107293
Xu T (2021) Explicit calculation for the pressure Poisson equation to simulate incompressible fluid flows in a mesh-free method. Int J Numer Meth Fluids 93(10):3034–3052
Xu T, Jin YC (2016) Modeling free-surface flows of granular column collapses using a mesh-free method. Powder Technol 291:20–34
Xu T, Jin YC (2016) Improvements for accuracy and stability in a weakly-compressible particle method. Comput Fluids 137:1–14
Xu T, Jin YC (2021) Two-dimensional continuum modelling granular column collapse by non-local peridynamics in a mesh-free method with rheology. J Fluid Mech. https://doi.org/10.1017/jfm.2021.320
Xu T, Jin YC, Tai YC (2019) Granular surface waves interaction across phases modeled by mesh-free method. Powder Technol 355:226–241
Xu T, Jin YC, Tai YC, Lu CH (2017) Simulation of velocity and shear stress distributions in granular column collapses by a mesh-free method. J Nonnewton Fluid Mech 247:146–164
Ye Y, Xu T, Zhu DZ (2020) Numerical analysis of dam-break waves propagating over dry and wet beds by the mesh-free method. Ocean Eng 217:107969
Zhang T, Koshizuka S, Murotani K, Shibata K, Ishii E (2017) Improvement of pressure distribution to arbitrary geometry with boundary condition represented by polygons in particle method. Int J Numer Meth Eng 112(7):685–710
Zhang P, Sun S, Chen Y, Galindo-Torres SA, Cui W (2021) Coupled material point Lattice Boltzmann method for modeling fluid–structure interactions with large deformations. Comput Methods Appl Mech Eng 385:114040
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Appendices
Appendix
Flow chart of the numerical algorithm
To clearly illustrate the numerical method for simulating granular flows, a flow chart of the algorithm is shown in Fig.
16. The numerical algorithm is based on the predictor-and-corrector time splitting scheme. The predictor solves shear stress term, external gravity force term, and part of the pressure gradient term by using a coefficient ε. With the continuity equation, the pressure Poisson equation is obtained, which is solved by an explicit equation. After obtaining the pressure field, the remaining pressure gradient is solved in the correction and the particles are updated to new locations. To avoid the clustering of particles, a collision model is implemented. Then, the calculation proceeds to the next loop.
Collision distance sensitivity investigation
The collision distance in the collision model is examined by varying the α value to simulate the granular column collapse. A schematic diagram for the numerical setup is shown in Fig. 5b in Sect. 4.2. Collision occurs when the distance of two particles is less than a threshold and the α value in the collision model is varied as α = 0.95, 0.9, and 0.8. In the investigation, ε = 0.75 and the particle distance d = 0.0025 m. The free surface profiles in the granular flow by using different α values is shown in Fig.
17. By using larger values of α in the collision model, the top part of the flow is higher, which can be observed for α = 0.9 and 0.8 at t = 0.22 s and 0.42 s. Meanwhile, the wave front part is shorter by using the two α values. By using α = 0.95, the free surface is closer to the experimental measurements.
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Xu, T., Li, S.S. Development of a non-local partial Peridynamic explicit mesh-free incompressible method and its validation for simulating dry dense granular flows. Acta Geotech. (2022). https://doi.org/10.1007/s11440-022-01766-4
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DOI: https://doi.org/10.1007/s11440-022-01766-4
Keywords
- Explicit scheme
- Granular flows
- Mesh-free method
- Peridynamics
- Pressure Poisson equation