A Method for Generating Two-dimensional Microstructure Model of Loess Based on Monte Carlo Method

QIAO Zhi-tian, LI Qiang, ZHANG Jie, LI Ping, SHEN Wei, LI Tong-lu

Journal of Changjiang River Scientific Research Institute ›› 2020, Vol. 37 ›› Issue (4) : 79-84.

PDF(5129 KB)
PDF(5129 KB)
Journal of Changjiang River Scientific Research Institute ›› 2020, Vol. 37 ›› Issue (4) : 79-84. DOI: 10.11988/ckyyb.20190035

A Method for Generating Two-dimensional Microstructure Model of Loess Based on Monte Carlo Method

  • QIAO Zhi-tian1, LI Qiang1, ZHANG Jie1, LI Ping1, SHEN Wei2, LI Tong-lu1
Author information +
History +

Abstract

Simulating the mechanical behavior of loess in micro-scale is an effective way to reveal the mechanical mechanism of loess. Micro-mechanical model of loess is essential. At present, the microstructure of loess is often obtained by optical microscope or scanning electron microscope image, which, however, will lead to particle suspension and overlapping when directly used in two-dimensional modeling. In this paper, a method of randomly generating two-dimensional microstructure model of loess is proposed based on the cumulative distribution curve and the actual particle morphology of loess. Firstly, the cumulative particle distribution curve is divided into several intervals according to the particle size range, and the particle size is randomly extracted from each interval to form a particle size database which satisfies the size distribution. In subsequence, a database of particle morphology is established based on the microscopic images of loess particles. The size and morphology of particles are randomly extracted from the two databases to generate a particle bank with random sizes and morphology. Last but not the least, Monte Carlo method is used to randomly place these particles at the top of the model, hence a two-dimensional microstructure model of loess is established. The model established in this paper accords with the microstructure characteristics of loess and provides an initial model for the simulation and analysis of microscopic mechanical behavior of loess.

Key words

loess / microstructure model / Monte Carlo method / numerical simulation / scanning electron microscope

Cite this article

Download Citations
QIAO Zhi-tian, LI Qiang, ZHANG Jie, LI Ping, SHEN Wei, LI Tong-lu. A Method for Generating Two-dimensional Microstructure Model of Loess Based on Monte Carlo Method[J]. Journal of Changjiang River Scientific Research Institute. 2020, 37(4): 79-84 https://doi.org/10.11988/ckyyb.20190035

References

[1] SANTAMARINA J C. Soil Behavior at the Microscale: Particle Forces[C]∥Symposium on Soil Behavior and Soft Ground Construction. Cambridge, Massachusetts, October 5-6, 2001: 25-56.
[2] ASSALLAY A M, ROGERS C D F, SMALLEY I J. Formation and Collapse of Metastable Particle Packing and Open Structures in Loess Deposits[J]. Engineering Geology, 1997, 48(1/2):101-115.
[3] DIBBEN S C,JEFFERSON I F,SMALLEY I J. The “Loughborough Loess” Monte Carlo Model of Soil Structure[J]. Computers & Geosciences,1998,24(4):345-352.
[4] 蒋明镜, 胡海军, 彭建兵. 结构性黄土一维湿陷特性的离散元数值模拟[J]. 岩土力学, 2013,34(4):1121-1130.
[5] JIANG M J, YU H S, LEROUEIL S. A Simple and Efficient Approach to Capturing Bonding Effect in Naturally Microstructured Sands by Discrete Element Method[J]. International Journal for Numerical Methods in Engineering, 2007, 69(6): 1158-1193.
[6] ZHANG G X, LI G X, SUGIURA Y, et al. Discontinuous Deformation Analysis of Sand Model and its Microscopic Consideration[J]. Journal of Applied Mechanics, 2000, 3: 481-488.
[7] 郭培玺,林绍忠.粗粒料力学特性的DDA数值模拟[J].raybet体育在线 院报,2008,25(1):58-60,69.
[8] 郭龙骁,张常亮,杨德广,等.黄土单向固结试验微观非连续变形分析[J].raybet体育在线 院报,2017,34(3):80-84.
[9] WITTMANN F H,ROELFSTRA P E,SADOUKI H. Simulation and Analysis of Composite Structures[J].Materials Science & Engineering,1985,68(2):239-248.
[10] BAZANT Z P, TABBARA M R, KAZEMI M T, et al. Random Particle Model for Fracture of Aggregate or Fiber Composites[J]. Journal of Engineering Mechanics, 1990, 116(8): 1686-1705.
[11]SCHLANGEN E, MIER J G M V. Simple Lattice Model for Numerical Simulation of Fracture of Concrete Materials and Structures[J]. Materials & Structures, 1992, 25(9): 534-542.
[12]WANG Z M, KWAN A K H, CHAN H C. Mesoscopic Study of Concrete I: Generation of Random Aggregate Structure and Finite Element Mesh[J]. Computers & Structures, 1999, 70(5): 533-544.
[13]SCHUTTER G D, TAERWE L. Random Particle Model for Concrete Based on Delaunay Triangulation[J]. Materials & Structures, 1993, 26(2): 67-73.
[14]CUNDALL P A. A Program to Model Granular Media Using the Distinct Element Method[M]. London: Dames & Moore Advanced Technology Group,1978:1-3.
[15]BEDDOW J K, MELOY T. Testing and Characterization of Powders and Fine Particles[M]. London: Heyden, 1980.
[16]郭培玺,林绍忠.粗粒料颗粒随机分布的数值模拟[J].raybet体育在线 院报,2007,24(4):50-52,56.
[17]ARYA L M, LEIJ F J, VAN GENUCHTEN M T, et al. Scaling Parameter to Predict the Soil Water Characteristic from Particle-size Distribution Data[J]. Soil Science Society of America Journal, 1999, 63(3): 510-519.
[18]LIU Z, LIU F, MA F, et al. Collapsibility, Composition, and Microstructure of a Loess in China[J]. Canadian Geotechnical Journal, 2016, 53(4): 673-686.
[19]王宇林,高玉娟,杨仁超,等.矿物学[M].徐州:中国矿业大学出版社,2014.
[20]GUO L X, LI T L, CHEN G Q, et al. A Method for Microscopic Unsaturated Soil-Water Interaction Analysis Based on DDA[J]. Computers and Geotechnics, 2019, 108: 143-151.
[21]HOOMANS B P B, KUIPERS J A M, BRIELS W J, et al. Discrete Particle Simulation of Bubble and Slug Formation in a Two-dimensional Gas-fluidised Bed: A Hard-sphere Approach[J]. Chemical Engineering Science, 1996, 51(1): 99-118.
PDF(5129 KB)

Accesses

Citation

Detail

Sections
Recommended

/

Baidu
map