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GPU material point method (MPM) and its application on slope stability analysis

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Abstract

Slope stability analysis is a popular area of interest in geotechnical engineering and is significant to landslide prevention and other geohazards. Owing to the success of the combined numerical methods of Lagrange and Euler, the material point method (MPM) has been developed. The benefit of MPM for the study of the evolution process for the slope is its application to efficiently simulate small- to large-scale deformation processes. The high-performance computing GPU-based MPM code named as CoSim-MPM is developed and the strength reduction method (SRM) is introduced to perform the quantitative analysis of slope failure risk assessment. Based on the developed code, a method to define the factor of stability (Fos) is provided and validated for two typical slopes: a homogenous slope and a slope with a weak interlayer. By comparing the MPM results with that of the limit equilibrium method (LEM), it is shown that both of the potential slide surfaces and Fos correspond well with each other. The accuracy of the MPM-SRM results surpasses that of the LEM for the failure mechanical and deformation characteristics of the landslide. As a practical application, the stability and failure mechanisms of Dongmiaojia slope, downstream of the Xiaolangdi Dam, China, is analyzed. All the results show that the GPU-based MPM can have powerful advantages for the stability analysis of slope with high efficiency. In addition, CoSim-MPM has strong scalability and can be applied to large-scale simulation research in the field of geotechnical engineering.

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No data, models, or code were generated or used during the study.

Change history

  • 14 May 2021

    Wen-Jie Xu was listed twice in the authorgroup during publication. This has been corrected.

References

  • Ali A, Huang JS, Lyamin AV, Sloan SW, Griffiths DV, Cassidy MJ, Li JH (2014) Simplified quantitative risk assessment of rainfall-induced landslide modelled by infinite slopes. Eng Geol 179:102–116

    Article  Google Scholar 

  • Anura3D (2017) Anura3D MPM Research Community. www.Anura3D.com.

  • Bardenhagen S, Kober E (2004) The generalized interpolation material point method. Comput Model Eng Sci 5:477–496

    Google Scholar 

  • Bhandari T, Hamad F, Moormann C, Sharma KG, Westrich B (2016) Numerical modelling of seismic slope failure using MPM. Comput Geotech 75:126–134. https://doi.org/10.1016/j.compgeo.2016.01.017

    Article  Google Scholar 

  • Cleary PW (2010) DEM prediction of industrial and geophysical particle flows. Particuology. 8:106–118

    Article  Google Scholar 

  • Coelho BZ, Rohe A, Aboufirass A, Nuttall J, Bolognin M (2018) Assessment of dike safety within the framework of large deformation analysis with the material point method. NUMGE.

  • COMDYM-MPM3D (2018) http://comdyn.hy.tsinghua.edu.cn/english/mpm3d

  • Dawson EM, Roth WH, Drescher A (1999) Slope stability analysis by strength reduction. Geotechnique. 49:835–840

    Article  Google Scholar 

  • Drucker DC, Prager W (1952) Soil mechanics and plastic analysis or limit design. Q Appl Math 10:157–165

    Article  Google Scholar 

  • Duncan JM, Dunlop P (1969) Slopes in stiff-fissured clays and shales. J Soil Mech Found Div 95:467–492

    Article  Google Scholar 

  • Farias M, Naylor D (1998) Safety analysis using finite elements. Comput Geotech 22:165–181

    Article  Google Scholar 

  • Fernández F, Vargas E, Velloso RQ (2019) A study of collapse in slopes using MPM and NLA (Numerical Limit Analysis). 2nd International Conference on the Material Point Method for Modelling Soil-Water-Structure Interaction

  • Gao M, Wang X, Wu K, Pradhana A, Sifakis E, Yuksel C, Jiang C (2018) GPU optimization of material point methods. ACM Trans Graph 37(6):1–12

    Article  Google Scholar 

  • Griffiths DV, Lane PA (1999) Slope stability analysis by finite elements. Geotechnique. 49:653–654

    Article  Google Scholar 

  • Hu Y, Li TM, Anderson L, Ragan-Kellry J, Durand F (2019) Taichi: a language for high-performance computation on spatially sparse data structures. ACM Trans Graph 38(6):1–16

    Google Scholar 

  • Iverson RM (2000) Landslide triggering by rain infiltration. Water Resour Res 36:1897–1910

    Article  Google Scholar 

  • Jiang M, Murakami A (2012) Distinct element method analyses of idealized bonded-granulate cut slope. Granul Matter 14:393–410

    Article  Google Scholar 

  • Kumar K, Salmond J, Kularathna S, Wilkes C, Soga K (2019) Scalable and modular material point method for large-scale simulations. 2nd International Conference on the Material Point Method.

  • Liu GY, Xu WJ, Govender N, Wilke DN (2020) A cohesive fracture model for discrete element method based on polyhedral blocks. Powder Technol 359:190–204

    Article  Google Scholar 

  • Liu GY, Xu WJ, Govender N, Wilke DN (2021) Simulation of rock fracture process based on GPU-accelerated discrete element method. Powder Technol 337:640–656

    Article  Google Scholar 

  • NairnMPM, (2016) http://osupdocs.forestry.oregonstate.edu/index.php/NairnMPM.

  • NVIDIA Corporation (2010) NVIDIA CUDA C Programming Guide, Version 3.2

  • Smith IM, Griffiths DV, Margetts L (2014) Programming the finite element method. Wiley

  • Snitbhan N, Chen WF (1978) Elastic-plastic large deformation analysis of soil slopes. Comput Struct 9:567–577

    Article  Google Scholar 

  • Sulsky D, Chen Z, Schreyer HL (1994) Particle method for history-dependent materials. Comput Methods Appl Mech Eng 118:179–196

    Article  Google Scholar 

  • Sulsky D, Schreyer HL (1996) Axisymmetric form of the material point method with applications to upsetting and Taylor impact problems. Comput Methods Appl Mech Eng 139:409–429

    Article  Google Scholar 

  • Sulsky D, Zhou SJ, Schreyer HL (1995) Application of a particle-in-cell method to solid mechanics. Comput Phys Commun 87:236–252

    Article  Google Scholar 

  • Tampubolon AP, Gast TF, Klár G, Fu C, Teran JM, Jiang C, Museth K (2017) Multi-species simulation of porous sand and water mixtures. ACM Trans Graph 36(4):1–11

    Article  Google Scholar 

  • Ugai K (2008) A method of calculation of total safety factor of slope by Elasto-Plastic FEM. Soils Found 29:190–195

    Article  Google Scholar 

  • Vardon PJ, Wang B, Hicks MA (2017) Slope failure simulation with MPM. 1st International Conference on the Material Point Method.

  • Wang X, Qiu Y, Slattery SR, Fang Y, Jiang C (2020) A massively parallel and scalable multi-CPU material point method. ACM Trans Graph 39(4)

  • 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 Environ 79:467–448

    Article  Google Scholar 

  • Zhang LY, Zheng YR, Zhao SY, Shi WM (2003) The feasibility study of strength-reduction method with FEM for calculating safety factors of soil slope stability. J Hydraul Eng ASCE 34:0021–0027

    Google Scholar 

  • Zhao SW, Zhao JD, Liang WJ (2020) A thread-block-wise computational framework for large-scale hierarchical continuum-discrete modeling of granular media. Int J Numer Methods Eng:1–30

  • Zhou X, Sun Z (2019) Quantitative assessment of landslide risk using Monte Carlo material point method. Eng Comput 37:1577–1696

    Article  Google Scholar 

  • Zhou Q, Xu WJ, Retief L (2020) Multi-scale mechanics of sand based on FEM-DEM coupling method. Powder Technol. In Press, Available online

  • Zienkiewicez OC (1977) The finite element method (5th). Butterworth-Heinemann

  • Zienkiewicz OC, Humpheson C, Lewis RW (1975) Associated and non-associated visco-plasticity and plasticity in soil mechanics. Geotechnique. 25:671–689

    Article  Google Scholar 

Download references

Funding

This work was supported by the projects of “Natural Science Foundation of China, China (52079067, 51879142)”, and “Research Fund Program of the State Key Laboratory of Hydroscience and Engineering (2020-KY-04)”

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Correspondence to Wen-Jie Xu.

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Feng, ZK., Xu, WJ. GPU material point method (MPM) and its application on slope stability analysis. Bull Eng Geol Environ 80, 5437–5449 (2021). https://doi.org/10.1007/s10064-021-02265-8

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  • DOI: https://doi.org/10.1007/s10064-021-02265-8

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