Journal of Jilin University(Earth Science Edition) ›› 2026, Vol. 56 ›› Issue (2): 625-634.doi: 10.13278/j.cnki.jjuese.20240040

Previous Articles     Next Articles

Percolation Mechanism of Sand Medium Based on Image Analysis

Wei Runchu1,2,3,Jiang Weijian1 ,Ouyang Qi1,2,3,Sheng Feng1,2,3,Chen Hongwei1,2,3,Huang He1,2,3,Shuai Huan4   

  1. 1. School of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha 410114, China

    2. Hunan Provincial Key Laboratory of Water and Sediment Science and Water Disaster Prevention and Control, Changsha 410114, China

    3. Hunan Provincial Key Laboratory of Water Environment Treatment and Ecological Restoration Dongting Lake, Changsha 410114, China

    4. Survey and Monitoring Institute of Hydrogeology and Environmental Geology of Hunan Province, Changsha 410129, China

     


  • Online:2026-03-26 Published:2026-04-16
  • Supported by:
    Supported by the National Natural Science Foundation of China (41602264),the Natural Science Foundation of Hunan Province  (2020JJ5572,2023JJ40021), the Water Conservancy Technology Project of Hunan Province (XSKJ2023059-01),the Outstanding Youth Project of Hunan Provincial Education Department  (21B0314) and the Major Scientific Research Project of Hunan Provincial Geological Institute (HNGSTP202304)

Abstract:

Aim to reveal the intrinsic mechanism of percolation in geotechnical granular media, geotechnical granular media samples were prepared by adjusting the ratio of clay and coarse sand, and their permeability coefficients were measured. With the help of image analysis methods, the distribution parameters of coarse sand in experimental sample images and randomly simulated images were statistically analyzed. Based on this, the percolation law and intrinsic mechanism of geotechnical granular media were analyzed. The results showed that as the mass fraction of coarse sand increased, the number of connected clusters of coarse sand showed a pattern of first increasing and then decreasing. The maximum connected cluster area, average connected cluster area, fractal dimension of coarse sand distribution, and permeability coefficient of experimental samples all showed a monotonic increase. The 30.0% mass fraction of coarse sand is the turning point of the change in the number of connected clusters. When the mass fraction of coarse sand is around 60.0%, the growth rate of the number of connected clusters, the maximum connected cluster area, and the average connected cluster area drops sharply or increases sharply. At the same time, the permeability coefficient of the soil particle media also quickly crosses two orders of magnitude, and percolation occurs. The occurrence of percolation in soil particle media is closely related to the changes in the morphology of connected clusters caused by changes in the proportion of coarse sand. When the mass fraction of coarse sand is below 30.0%, the coarse sand particles are dispersed in an “isolated island” shape in the clay particles. When the mass fraction of coarse sand exceeds 30.0%, the coarse sand begins to connect with each other, and the number of connected clusters decreases, but still appears in a “patchy” shape with poor connectivity. After the mass fraction of coarse sand reaches 60.0%, the probability of coarse sand connecting to each other as a single connected cluster approaches 1.0, and a high permeability channel that runs through the entire seepage path is formed, triggering percolation.


Key words: percolation, binarized image, permeability coefficient, connected clusters, fractal, porous medium

CLC Number: 

  • P339
[1] Wang Fugang, Guan Xiaotong, He Qingcheng, Cheng Hui, Yang Guohua, Cheng Zhongle, Wang Yaohui.  A Mathematical Model of Low-Velocity Non-Darcy Flow in Clayey Soil Considering Change of Viscosity in Boundary Layer Fluid [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(3): 893-905.
[2] Liu Shuo, Wang Fei, Yu Rui, Gao Jianxing, Shi Hao, Zhu Yushuang. Micro Pore Throat Structure and Fractal Characteristics of Tight Sandstone Reservoir#br# [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(1): 96-107.
[3] Cui Zhongliang, Zhou Jiaxi, , Luo Kai, . Fractal Structure and Application Prospect of Xingguo-Ningdu Fluorite Metallogenic Belt in Southern Jiangxi, China#br# [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(1): 108-124.
[4] Zhao Yue, Li lei, Si Yunhang, Wang Huimin. Fractal Characteristics and Controlling Factors of Pores in Shallow Shale Gas Reservoirs: A Case Study of Longmaxi Formation in Zhaotong Area, Yunnan Province [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(6): 1813-1829.
[5] Wan Li, Liu Hui, Zeng Xiangjian. Multifractal Characteristics of Metallogenic Elements and Their Implications to the Mineralization Intensity in Pulang Porphyry Copper Deposit [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(4): 1054-1063.
[6] Xu Xinmu, Zhang Yaoping, Fu Yuhua, Lei Daxing, Zou Xionggang. Shear Failure Characteristics of Rock-Like Specimens Containing Joints Under Freezing-Thawing Cycles [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(2): 483-494.
[7] Yang Kun, Wang Fuyong, Zeng Fanchao, Zhao Jiuyu, Wang Congle. Permeability Prediction Based on Fractal Characteristics of Digital Rock [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(4): 1003-1011.
[8] Wang Fuyong, Cheng Hui. Characterization of Pore Structure and Petrophysical Properties of Tight Sandstone of Yanchang Formation, Ordos Basin [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(3): 721-731.
[9] Zhang Ze, Zhou Hong, Qin Qi, Bing Hui, Wu Junjie, Zhou Panfeng. Experimental Study on Porosity Characteristics of Loess Under Freezing-Thawing Cycle [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(3): 839-847.
[10] Chen Rongbo,Shu Longcang,Lu Chengpeng,Li Wei. Experimental Study on the Characteristic Parameters Variation of the Aquifer Caused by Aquifer Compaction [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(6): 1958-1965.
[11] Lu Yamei, Wang Yao, Zhou Dandan, Zhao Wenyuan, Wang Bing, Yang Cuihua. Protection of the Flocs by the Multi-Stage Velocity Gradients Based on Fluidized Station [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(5): 1608-1613.
[12] Chen Sheming, Lu Wenxi, Luo Jiannan, Kang Zhu. Multifractal Characteristic of Meteorological Drought in Western of Jilin Province [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(1): 245-250.
[13] Wan Li, Deng Xiaocheng, Wang Qingfei, Liu Huan. Identification of Mineral Intensity Based on Hurst Index in Dayin’gezhuang Gold Deposit, Shandong Province, China [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(1): 87-92.
[14] Chen Yong, He Zongfa, Li Bing, Zhao Baocheng. Spatial Distribution of Tidal Creeks and Quantitative Analysis of Its Driving Factors in Chongming Dongtan,Shanghai [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(1): 212-219.
[15] Zhou Dan-dan,Zhao Wen-yuan,Wang Jun,Tan Chuan-xiong,Dong Shuang-shi,Cui Ning. Set-Up Method of Multi-Velocity Gradient in a Fluidized Flocculation Bed and Characterization of Its Impact on Flocculation Reaction [J]. Journal of Jilin University(Earth Science Edition), 2012, 42(6): 1896-1902.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] CHENG Li-ren, ZHANG Yu-jie, ZHANG Yi-chun. Ordovician Nautiloid Fossils of Xainza Region,Tibet[J]. J4, 2005, 35(03): 273 -0282 .
[2] LI Bing-cheng. Preliminary Studies on Holocene Climatic In Fuping,Shaanxi Province[J]. J4, 2005, 35(03): 291 -0295 .
[3] HE Zhong-hua,YANG De-ming,WANG Tian-wu,ZHENG Chang-qing. SHRIMP U[CD*2]Pb Dating of Zircons from Two-Mica Granite in Baga Area in Gangdise Belt[J]. J4, 2005, 35(03): 302 -0307 .
[4] CHEN Li, NIE Lei, WANG Xiu-fan, LI Jin. Seismic Risk Analysis of Some Electric Power Equipment Station in Suizhong[J]. J4, 2005, 35(05): 641 -645 .
[5] JI Hong-jin,SUN Feng-yue2,CHEN Man,HU Da-qian,SHI Yan-xiang,PAN Xiang-qing. Geochemical Evaluation for Uncovered GoldBearing Structures in Jiaodong Area[J]. J4, 2005, 35(03): 308 -0312 .
[6] CHU Feng-you, SUN Guo-sheng,LI Xiao-min,MA Wei-lin, ZHAO Hong-qiao. The Growth Habit and Controlling Factors of the CobaltRich Crusts in Seamount of the Central Pacific[J]. J4, 2005, 35(03): 320 -0325 .
[7] LI Bin, MENG Zi-fang, LI Xiang-bo, LU Hong-xuan, ZHENG Min. The Structural Features and Depositional Systems of the Early Tertiary in the Biyang Depression[J]. J4, 2005, 35(03): 332 -0339 .
[8] LI Tao, WU Sheng-jun, CAI Shu-ming, XUE Huai-ping, YASUNORI Nakayama. Simulation Analysis of the Storage Capacity Based on DEM Before and After Connecting to Yangtze River in Zhangdu Lake[J]. J4, 2005, 35(03): 351 -0355 .
[9] KUANG Li-xiong,GUO Jian-hua, MEI Lian-fu, TONG Xiao-lan, YANG Li. Study on the Upheaval of the Bogeda Mountain Block from Angle of Oil and Gas Exploration[J]. J4, 2005, 35(03): 346 -0350 .
[10] ZHANG Guang-xin, DENG Wei, HE Yan, RAMSIS Salama. An Application of Hydrological Response Units in Assessment of Soil Salinization Risks[J]. J4, 2005, 35(03): 356 -0360 .