Full Text:  <2600>

CLC number: TU434

On-line Access: 2021-11-17

Received: 2020-12-16

Revision Accepted: 2021-01-14

Crosschecked: 2021-10-20

Cited: 0

Clicked: 4340

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Zhuang Jin

https://orcid.org/0000-0001-6463-1379

-   Go to

Article info.
Open peer comments

Journal of Zhejiang University SCIENCE A

Accepted manuscript available online (unedited version)


Numerical analysis of column collapse by smoothed particle hydrodynamics with an advanced critical state-based model


Author(s):  Zhuang Jin, Zhao Lu, Yi Yang

Affiliation(s):  Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; more

Corresponding email(s):  messi.luzhao@connect.umac.mo, yb87402@um.edu.mo

Key Words:  Granular material; Smoothed particle hydrodynamics (SPH); Large deformations; Critical state; Collapse


Share this article to: More <<< Previous Paper|Next Paper >>>

Zhuang Jin, Zhao Lu, Yi Yang. Numerical analysis of column collapse by smoothed particle hydrodynamics with an advanced critical state-based model[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2000598

@article{title="Numerical analysis of column collapse by smoothed particle hydrodynamics with an advanced critical state-based model",
author="Zhuang Jin, Zhao Lu, Yi Yang",
journal="Journal of Zhejiang University Science A",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/jzus.A2000598"
}

%0 Journal Article
%T Numerical analysis of column collapse by smoothed particle hydrodynamics with an advanced critical state-based model
%A Zhuang Jin
%A Zhao Lu
%A Yi Yang
%J Journal of Zhejiang University SCIENCE A
%P 882-893
%@ 1673-565X
%D in press
%I Zhejiang University Press & Springer
doi="https://doi.org/10.1631/jzus.A2000598"

TY - JOUR
T1 - Numerical analysis of column collapse by smoothed particle hydrodynamics with an advanced critical state-based model
A1 - Zhuang Jin
A1 - Zhao Lu
A1 - Yi Yang
J0 - Journal of Zhejiang University Science A
SP - 882
EP - 893
%@ 1673-565X
Y1 - in press
PB - Zhejiang University Press & Springer
ER -
doi="https://doi.org/10.1631/jzus.A2000598"


Abstract: 
The complex behavior of granular material considering large deformation and post-failure is of great interest in the geotechnical field. Numerical prediction of these phenomena could provide useful insights for engineering design and practice. In this paper, we propose a novel numerical approach to study soil collapse involving large deformation. The approach combines a recently developed critical state-based sand model SIMSAND for describing complex sand mechanical behaviors, and the smoothed particle hydrodynamics (SPH) method for dealing with large deformation. To show the high efficiency and accuracy of the proposed approach, a series of column collapses using discrete element method (DEM) and considering the influence of particle shapes (i.e. spherical shape (SS), tetrahedral shape (TS), and elongated shape (ES)) were adopted as benchmarks and simulated by the proposed method. The parameters of SIMSAND were calibrated from the results of DEM triaxial tests on the same samples. Compared with the results of DEM simulations and reference solutions derived by published collapse experiments, the runout distance and final height of specimens with different particle shapes simulated by SPH-SIMSAND were well characterized and incurred a lower computational cost. Comparisons showed that the novel SPH-SIMSAND approach is highly efficient and accurate for simulating collapse, and can be a useful numerical analytical tool for real scale engineering problems.

基于高级临界状态模型对土柱坍塌进行光滑粒子流体动力学模拟

目的:采用数值模拟方法研究涉及大变形的土柱坍塌过程.
创新点:基于临界状态的高级本构框架,利用光滑粒子流体动力学(SPH)方法模拟土柱坍塌过程,并同时研究颗粒形状对坍塌的影响.
方法: 采用数值仿真和离散元的方法.
结论:本文提出的SIMSAND-SPH方法在模拟涉及大变形问题的土柱坍塌过程方面具有很高的效率和计算精度,可为实际工程问题提供参考依据.

关键词组:颗粒材料;SPH;大变形;临界状态;坍塌

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Balmforth NJ, Kerswell RR, 2005. Granular collapse in two dimensions. Journal of Fluid Mechanics, 538:399-428.

[2]Bui HH, Fukagawa R, Sako K, et al., 2008. Lagrangian meshfree particles method (SPH) for large deformation and failure flows of geomaterial using elastic-plastic soil constitutive model. International Journal for Numerical and Analytical Methods in Geomechanics, 32(12):1537-1570.

[3]Crosta GB, Imposimato S, Roddeman D, 2009. Numerical modeling of 2-D granular step collapse on erodible and nonerodible surface. Journal of Geophysical Research, 114(F3):F03020.

[4]Daerr A, Douady S, 1999. Sensitivity of granular surface flows to preparation. EPL (Europhysics Letters), 47(3):324-330.

[5]Dávalos C, Cante J, Hernández JA, et al., 2015. On the numerical modeling of granular material flows via the particle finite element method (PFEM). International Journal of Solids and Structures, 71:99-125.

[6]Duran J, 2012. Sands, Powders, and Grains: an Introduction to the Physics of Granular Materials. Springer Science & Business Media, New York, USA.

[7]Fan HF, Li SF, 2017. A peridynamics-SPH modeling and simulation of blast fragmentation of soil under buried explosive loads. Computer Methods in Applied Mechanics and Engineering, 318:349-381.

[8]Fan HF, Bergel GL, Li SF, 2016. A hybrid peridynamics–SPH simulation of soil fragmentation by blast loads of buried explosive. International Journal of Impact Engineering, 87:14-27.

[9]Fern EJ, Soga K, 2016. The role of constitutive models in MPM simulations of granular column collapses. Acta Geotechnica, 11(3):659-678.

[10]Gingold RA, Monaghan JJ, 1977. Smoothed particle hydrodynamics: theory and application to non-spherical stars. Monthly Notices of the Royal Astronomical Society, 181(3):375-389.

[11]Girolami L, Hergault V, Vinay G, et al., 2012. A three-dimensional discrete-grain model for the simulation of dam-break rectangular collapses: comparison between numerical results and experiments. Granular Matter, 14(3):381-392.

[12]Gu Q, Wang L, Huang SR, 2019. Integration of peridynamic theory and OpenSees for solving problems in civil engineering. Computer Modeling in Engineering & Sciences, 120(3):471-489.

[13]Hu CB, Wang L, Ling DS, et al., 2020. Experimental and numerical investigation on the tensile fracture of compacted clay. Computer Modeling in Engineering & Sciences, 123(1):283-307.

[14]Jin YF, Yin ZY, 2020. Enhancement of backtracking search algorithm for identifying soil parameters. International Journal for Numerical and Analytical Methods in Geomechanics, 44(9):1239-1261.

[15]Jin YF, Yin ZY, Shen SL, et al., 2016a. Investigation into MOGA for identifying parameters of a critical-state-based sand model and parameters correlation by factor analysis. Acta Geotechnica, 11(5):1131-1145.

[16]Jin YF, Yin ZY, Shen SL, et al., 2016b. Selection of sand models and identification of parameters using an enhanced genetic algorithm. International Journal for Numerical and Analytical Methods in Geomechanics, 40(8):1219-1240.

[17]Jin YF, Wu ZX, Yin ZY, et al., 2017a. Estimation of critical state-related formula in advanced constitutive modeling of granular material. Acta Geotechnica, 12(6):1329-1351.

[18]Jin YF, Yin ZY, Shen SL, et al., 2017b. A new hybrid real-coded genetic algorithm and its application to parameters identification of soils. Inverse Problems in Science and Engineering, 25(9):1343-1366.

[19]Jin YF, Yin ZY, Wu ZX, et al., 2018. Identifying parameters of easily crushable sand and application to offshore pile driving. Ocean Engineering, 154:416-429.

[20]Jin YF, Yin ZY, Zhou WH, et al., 2019a. Identifying parameters of advanced soil models using an enhanced transitional Markov chain Monte Carlo method. Acta Geotechnica, 14(6):1925-1947.

[21]Jin YF, Yin ZY, Zhou WH, et al., 2019b. Multi-objective optimization-based updating of predictions during excavation. Engineering Applications of Artificial Intelligence, 78:102-123.

[22]Jin YF, Yuan WH, Yin ZY, et al., 2020. An edge-based strain smoothing particle finite element method for large deformation problems in geotechnical engineering. International Journal for Numerical and Analytical Methods in Geomechanics, 44(7):923-941.

[23]Jin Z, Yin ZY, Kotronis P, et al., 2019a. Advanced numerical modelling of caisson foundations in sand to investigate the failure envelope in the H-M-V space. Ocean Engineering, 190:106394.

[24]Jin Z, Yin ZY, Kotronis P, et al., 2019b. Numerical investigation on evolving failure of caisson foundation in sand using the combined Lagrangian-SPH method. Marine Georesources & Geotechnology, 37(1):23-35.

[25]Kermani E, Qiu T, Li TB, 2015. Simulation of collapse of granular columns using the discrete element method. International Journal of Geomechanics, 15(6):04015004.

[26]Lacaze L, Phillips JC, Kerswell RR, 2008. Planar collapse of a granular column: experiments and discrete element simulations. Physics of Fluids, 20(6):063302.

[27]Lajeunesse E, Mangeney-Castelnau A, Vilotte JP, 2004. Spreading of a granular mass on a horizontal plane. Physics of Fluids, 16(7):2371-2381.

[28]Lajeunesse E, Monnier JB, Homsy GM, 2005. Granular slumping on a horizontal surface. Physics of Fluids, 17(10):103302.

[29]Lo CY, Bolton M, Cheng YP, 2009. Discrete element simulation of granular column collapse. AIP Conference Proceedings, 1145(1):627-630.

[30]Lu Z, Jin Z, Kotronis P, 2021. Numerical analysis of slope collapse using SPH and the SIMSAND critical state model. Journal of Rock Mechanics and Geotechnical Engineering, in press.

[31]Lube G, Huppert HE, Sparks RSJ, et al., 2004. Axisymmetric collapses of granular columns. Journal of Fluid Mechanics, 508:175-199.

[32]Lube G, Huppert HE, Sparks RSJ, et al., 2005. Collapses of two-dimensional granular columns. Physical Review E, 72(4):041301.

[33]Lube G, Huppert HE, Sparks RSJ, et al., 2007. Static and flowing regions in granular collapses down channels. Physics of Fluids, 19(4):043301.

[34]Mast CM, Arduino P, Mackenzie-Helnwein P, et al., 2015. Simulating granular column collapse using the material point method. Acta Geotechnica, 10(1):101-116.

[35]Nguyen CT, Nguyen CT, Bui HH, et al., 2017. A new SPH-based approach to simulation of granular flows using viscous damping and stress regularisation. Landslides, 14(1):69-81.

[36]Qiu ZJ, Lu JC, Elgamal A, et al., 2019. OpenSees three-dimensional computational modeling of ground-structure systems and liquefaction scenarios. Computer Modeling in Engineering & Sciences, 120(3):629-656.

[37]Ren B, Fan HF, Bergel GL, et al., 2015. A peridynamics–SPH coupling approach to simulate soil fragmentation induced by shock waves. Computational Mechanics, 55(2):287-302.

[38]Soundararajan KK, 2015. Multi-scale Multiphase Modelling of Granular Flows. PhD Thesis, University of Cambridge, Cambridge, UK.

[39]Staron L, Hinch EJ, 2005. Study of the collapse of granular columns using two-dimensional discrete-grain simulation. Journal of Fluid Mechanics, 545:1-27.

[40]Utili S, Zhao T, Houlsby GT, 2015. 3D DEM investigation of granular column collapse: evaluation of debris motion and its destructive power. Engineering Geology, 186:3-16.

[41]Wu ZX, Yin ZY, Jin YF, et al., 2017. A straightforward procedure of parameters determination for sand: a bridge from critical state based constitutive modelling to finite element analysis. European Journal of Environmental and Civil Engineering, 23(12):1444-1466.

[42]Wu ZX, Ji H, Han J, et al., 2019. Numerical modelling of granular column collapse using coupled Eulerian– Lagrangian technique with critical state soil model. Engineering Computations, 36(7):2480-2504.

[43]Xiong H, Yin ZY, Nicot F, et al., 2021. A novel multi-scale large deformation approach for modelling of granular collapse. Acta Geotechnica, 16:2371-2388.

[44]Yang J, Yin ZY, Laouafa F, et al., 2019a. Analysis of suffusion in cohesionless soils with randomly distributed porosity and fines content. Computers and Geotechnics, 111:157-171.

[45]Yang J, Yin ZY, Laouafa F, et al., 2019b. Internal erosion in dike-on-foundation modeled by a coupled hydromechanical approach. International Journal for Numerical and Analytical Methods in Geomechanics, 43(3):663-683.

[46]Yang J, Yin ZY, Laouafa F, et al., 2019c. Modeling coupled erosion and filtration of fine particles in granular media. Acta Geotechnica, 14(6):1615-1627.

[47]Yang J, Yin ZY, Laouafa F, et al., 2020. Hydromechanical modeling of granular soils considering internal erosion. Canadian Geotechnical Journal, 57(2):157-172.

[48]Yin ZY, Jin YF, Shen SL, et al., 2017. An efficient optimization method for identifying parameters of soft structured clay by an enhanced genetic algorithm and elastic– viscoplastic model. Acta Geotechnica, 12(4):849-867.

[49]Yin ZY, Jin Z, Kotronis P, et al., 2018a. Novel SPH SIMSAND–based approach for modeling of granular collapse. International Journal of Geomechanics, 18(11):04018156.

[50]Yin ZY, Jin YF, Shen JS, et al., 2018b. Optimization techniques for identifying soil parameters in geotechnical engineering: comparative study and enhancement. International Journal for Numerical and Analytical Methods in Geomechanics, 42(1):70-94.

[51]Yuan WH, Wang B, Zhang W, et al., 2019. Development of an explicit smoothed particle finite element method for geotechnical applications. Computers and Geotechnics, 106:42-51.

[52]Yuan WH, Liu K, Zhang W, et al., 2020. Dynamic modeling of large deformation slope failure using smoothed particle finite element method. Landslides, 17(7):1591-1603.

[53]Zenit R, 2005. Computer simulations of the collapse of a granular column. Physics of Fluids, 17(3):031703.

[54]Zhang X, Krabbenhoft K, Pedroso DM, et al., 2013. Particle finite element analysis of large deformation and granular flow problems. Computers and Geotechnics, 54:133-142.

[55]Zhang X, Krabbenhoft K, Sheng DC, 2014. Particle finite element analysis of the granular column collapse problem. Granular Matter, 16(4):609-619.

[56]Zhang X, Krabbenhoft K, Sheng DC, et al., 2015. Numerical simulation of a flow-like landslide using the particle finite element method. Computational Mechanics, 55(1):167-177.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE