Numerical insights into rock–ice avalanche geophysical flow mobility through CFD–DEM simulation

Computational Mathematics; Fluid Flow and Transfer Processes; Modeling and Simulation; Numerical Analysis; Civil and Structural Engineering; Computational Mechanics

Abstract :

[en] Geophysical flows like rock–ice avalanches have high mobility and destructive potential, causing global loss of life and property. Water, often from melted ice, significantly impacts their mobility. Experimental investigations of debris friction in a rotating drum with melting ice show reduced friction due to water. However, experimental limitations hinder extensive testing. Employing a numerical model can overcome this, facilitating the study of various scenarios in understanding such calamitous geophysical flows. In the current work, we numerically replicate the rotating drum experiment using Eulerian–Lagrangian CFD–DEM coupling. We focus on the initial and final states, considering a 30% gravel and 70% ice mixture (B12-070 ). We don’t model the ice melting; rather, we inject equivalent water over time. Our simulation captures changes in the frictional behavior of the gravel bulk and flow height profile, closely aligning with experimental observations.

Research center :

LuXDEM - University of Luxembourg: Luxembourg XDEM Research Centre
ULHPC - University of Luxembourg: High Performance Computing

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others
Geological, petroleum & mining engineering
Computer science

Author, co-author :

ADHAV, Prasad ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

Feng, Zetao

Ni, Tao

PETERS, Bernhard ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

Fan, Xuanmei

External co-authors :

yes

Language :

English

Title :

Numerical insights into rock–ice avalanche geophysical flow mobility through CFD–DEM simulation

Publication date :

03 January 2024

Journal title :

Computational Particle Mechanics

ISSN :

2196-4378

eISSN :

2196-4386

Publisher :

Springer Science and Business Media LLC

Peer reviewed :

Peer reviewed

Focus Area :

Computational Sciences

Additional URL :

https://link.springer.com/content/pdf/10.1007/s40571-023-00699-3.pdf

Funders :

National Science Fund for Distinguished Young Scholars
Tencent
Natural Science Foundation of Sichuan Province
Science Fund for Distinguished Young Scholars of Sichuan Province
National Natural Science Foundation of China

Available on ORBilu :

since 04 January 2024

Statistics

Number of views

58 (6 by Unilu)

Number of downloads

0 (0 by Unilu)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenAlex citations

Bibliography

Alexander D (1989) Urban landslides. Prog Phys Geogr 13(2):157–189 DOI: 10.1177/030913338901300201
Baniasadi M, Baniasadi M, Peters B (2018) Coupled CFD–DEM with heat and mass transfer to investigate the melting of a granular packed bed. Chem Eng Sci 178:136–145 DOI: 10.1016/j.ces.2017.12.044
Berberović E, van Hinsberg NP, Jakirlić S, Roisman IV, Tropea C (2009) Drop impact onto a liquid layer of finite thickness: dynamics of the cavity evolution. Phys Rev E 79(3):036306 DOI: 10.1103/PhysRevE.79.036306
Biot MA (1956) Theory of propagation of elastic waves in a fluid-saturated porous solid. II. Higher frequency range. J Acoust Soc Am 28(2):179–191 DOI: 10.1121/1.1908241
Denlinger RP, Iverson RM (2004) Granular avalanches across irregular three-dimensional terrain: 1. Theory and computation. J Geophys Res Earth Surf. 10.1029/2003JF000085 DOI: 10.1029/2003JF000085
Fan X, Yunus AP, Yang YH, Subramanian SS, Zou C, Dai L, Dou X, Narayana AC, Avtar R, Xu Q et al (2022) Imminent threat of rock–ice avalanches in high mountain Asia. Sci Total Environ 836:155380 DOI: 10.1016/j.scitotenv.2022.155380
Fang J, Cui Y, Li X, Nie J (2022) A new insight into the dynamic impact between geophysical flow and rigid barrier. Comput Geotech 148:104790 DOI: 10.1016/j.compgeo.2022.104790
Hertz H (1882) Ueber die berührung fester elastischer körper
Hürlimann M, Copons R, Altimir J (2006) Detailed debris flow hazard assessment in Andorra: a multidisciplinary approach. Geomorphology 78(3–4):359–372 DOI: 10.1016/j.geomorph.2006.02.003
Iverson RM, Denlinger RP (2001) Flow of variably fluidized granular masses across three-dimensional terrain: 1. Coulomb mixture theory. J Geophys Res Solid Earth 106(B1):537–552 DOI: 10.1029/2000JB900329
Iverson RM, George DL (2014) A depth-averaged debris-flow model that includes the effects of evolving dilatancy. I. Physical basis. Proc R Soc A Math Phys Eng Sci 470(2170):20130819
Jing L, Kwok C, Leung YF, Sobral Y (2016) Extended CFD–DEM for free-surface flow with multi-size granules. Int J Numer Anal Meth Geomech 40(1):62–79 DOI: 10.1002/nag.2387
Kong Y, Guan M, Li X, Zhao J, Yan H (2022) How flexible, slit and rigid barriers mitigate two-phase geophysical mass flows: a numerical appraisal. J Geophys Res Earth Surf 127(6):e2021JF006587 DOI: 10.1029/2021JF006587
Laigle D, Coussot P (1997) Numerical modeling of mudflows. J Hydraul Eng 123(7):617–623 DOI: 10.1061/(ASCE)0733-9429(1997)123:7(617)
Li X, Zhao J (2018) Dam-break of mixtures consisting of non-Newtonian liquids and granular particles. Powder Technol 338:493–505 DOI: 10.1016/j.powtec.2018.07.021
Mahmoudi AH, Hoffmann F, Peters B (2014) Application of XDEM as a novel approach to predict drying of a packed bed. Int J Therm Sci 75:65–75 DOI: 10.1016/j.ijthermalsci.2013.07.016
Mahmoudi AH, Markovic M, Peters B, Brem G (2015) An experimental and numerical study of wood combustion in a fixed bed using Euler–Lagrange approach (XDEM). Fuel 150:573–582 DOI: 10.1016/j.fuel.2015.02.008
Mahmoudi AH, Hoffmann F, Peters B (2016) Semi-resolved modeling of heat-up, drying and pyrolysis of biomass solid particles as a new feature in XDEM. Appl Therm Eng 93:1091–1104 DOI: 10.1016/j.applthermaleng.2015.10.033
Mindlin RD (1949) Compliance of elastic bodies in contact
Peters B, Baniasadi M, Baniasadi M, Besseron X, Donoso AE, Mohseni M, Pozzetti G (2019) XDEM multi-physics and multi-scale simulation technology: review of DEM–CFD coupling, methodology and engineering applications. Particuology 44:176–193 DOI: 10.1016/j.partic.2018.04.005
Pitman EB, Le L (2005) A two-fluid model for avalanche and debris flows. Philos Trans R Soc A Math Phys Eng Sci 363(1832):1573–1601 DOI: 10.1098/rsta.2005.1596
Pouliquen O, Forterre Y (2002) Friction law for dense granular flows: application to the motion of a mass down a rough inclined plane. J Fluid Mech 453:133–151 DOI: 10.1017/S0022112001006796
Pozzetti G, Peters B (2018) A multiscale DEM–VOF method for the simulation of three-phase flows. Int J Multiph Flow 99:186–204 DOI: 10.1016/j.ijmultiphaseflow.2017.10.008
Pudasaini S, Wang Y, Hutter K (2005) Modelling debris flows down general channels. Nat Hazard 5(6):799–819 DOI: 10.5194/nhess-5-799-2005
Pudasaini SP (2012) A general two-phase debris flow model. J Geophys Res Earth Surf. 10.1029/2011JF002186 DOI: 10.1029/2011JF002186
Pudasaini SP, Fischer JT (2020) A mechanical model for phase separation in debris flow. Int J Multiph Flow 129:103292 DOI: 10.1016/j.ijmultiphaseflow.2020.103292
Pudasaini SP, Hutter K (2007) Avalanche dynamics: dynamics of rapid flows of dense granular avalanches. Springer Science & Business Media, Berlin
Pudasaini SP, Mergili M (2019) A multi-phase mass flow model. J Geophys Res Earth Surf 124(12):2920–2942 DOI: 10.1029/2019JF005204
Sandia National Labs, Kitware Inc and Los Alamos National Labs (2000–2008) Paraview: parallel visualization application. http://paraview.org
Savage SB, Hutter K (1989) The motion of a finite mass of granular material down a rough incline. J Fluid Mech 199:177–215 DOI: 10.1017/S0022112089000340
Savage SB, Hutter K (1991) The dynamics of avalanches of granular materials from initiation to runout. Part I: analysis. Acta Mech 86(1–4):201–223 DOI: 10.1007/BF01175958
Schiller L (1933) A drag coefficient correlation. Zeit Ver Deutsch Ing 77:318–320
Schneider D, Kaitna R, Dietrich W, Hsu L, Huggel C, McArdell B (2011) Frictional behavior of granular gravel–ice mixtures in vertically rotating drum experiments and implications for rock–ice avalanches. Cold Reg Sci Technol 69(1):70–90 DOI: 10.1016/j.coldregions.2011.07.001
Shan T, Zhao J (2014) A coupled CFD–DEM analysis of granular flow impacting on a water reservoir. Acta Mech 225:2449–2470
Shugar DH, Jacquemart M, Shean D, Bhushan S, Upadhyay K, Sattar A, Schwanghart W, McBride S, De Vries MVW, Mergili M et al (2021) A massive rock and ice avalanche caused the 2021 disaster at Chamoli, Indian Himalaya. Science 373(6552):300–306 DOI: 10.1126/science.abh4455
Sosio R, Crosta GB, Chen JH, Hungr O (2012) Modelling rock avalanche propagation onto glaciers. Quat Sci Rev 47:23–40 DOI: 10.1016/j.quascirev.2012.05.010
Takebayashi H, Fujita M (2020) Numerical simulation of a debris flow on the basis of a two-dimensional continuum body model. Geosciences 10(2):45 DOI: 10.3390/geosciences10020045
Taylor-Noonan AM, Bowman ET, McArdell BW, Kaitna R, McElwaine JN, Take WA (2022) Influence of pore fluid on grain-scale interactions and mobility of granular flows of differing volume. J Geophys Res Earth Surf 127(12):e2022JF006622 DOI: 10.1029/2022JF006622
Trujillo-Vela MG, Ramos-Cañón AM, Escobar-Vargas JA, Galindo-Torres SA (2022) An overview of debris-flow mathematical modelling. Earth Sci Rev. 10.1016/j.earscirev.2022.104135 DOI: 10.1016/j.earscirev.2022.104135
Tsuji Y, Tanaka T, Ishida T (1992) Lagrangian numerical simulation of plug flow of cohesionless particles in a horizontal pipe. Powder Technol 71(3):239–250 DOI: 10.1016/0032-5910(92)88030-L
Wang T, Zhang F, Furtney J, Damjanac B (2022) A review of methods, applications and limitations for incorporating fluid flow in the discrete element method. J Rock Mech Geotech Eng 14(3):1005–1024 DOI: 10.1016/j.jrmge.2021.10.015
Xiao H, Sun J (2011) Algorithms in a robust hybrid CFD–DEM solver for particle-laden flows. Commun Comput Phys 9(2):297–323 DOI: 10.4208/cicp.260509.230210a
Xu WJ, Dong XY (2021) Simulation and verification of landslide tsunamis using a 3D SPH–DEM coupling method. Comput Geotech 129:103803 DOI: 10.1016/j.compgeo.2020.103803
Xu WJ, Yao ZG, Luo YT, Dong XY (2020) Study on landslide-induced wave disasters using a 3D coupled SPH–DEM method. Bull Eng Geol Env 79:467–483 DOI: 10.1007/s10064-019-01558-3
Zhang D, Whiten W (1996) The calculation of contact forces between particles using spring and damping models. Powder Technol 88(1):59–64 DOI: 10.1016/0032-5910(96)03104-X
Zhao T, Houlsby G, Utili S (2014) Investigation of submerged debris flows via CFD–DEM coupling. IS-Cambridge, Geomechanics from Micro to Macro Taylor and Francis Group, Cambridge, pp 497–502