CFD-DEM modeling of filtration through conventional and conical geotextile filter systems

被引:4
|
作者
Ryoo, S. C. [1 ]
Erucar, S. [2 ]
Evans, T. M. [3 ]
Aydilek, A. H. [4 ]
机构
[1] Univ Maryland, Dept Civil & Environm Engn, College Pk, MD USA
[2] Istanbul Tech Univ, Dept Civil Engn, Istanbul, Turkey
[3] Oregon State Univ, Dept Civil & Construct Engn, Corvallis, OR USA
[4] Univ Maryland, Dept Civil & Environm Engn, College Pk, MD 20742 USA
关键词
Geosynthetics; Discrete element modeling; Soil retention; COUPLED CFD; RETAINING WALL; FLOW; SIMULATION; PARTICLES; EROSION; FIELD;
D O I
10.1680/jgein.21.00098
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
A significant contributor to retaining wall structural failure occurs due to inadequate drainage in the backfill. A numerical model based on a computational fluid dynamics and discrete element method (CFD-DEM) coupled approach was developed to simulate particle movement in the graded filter zone and piping through the geotextiles. The model was used for conventional as well conical geotextile filter systems that use a series of woven geotextiles filtering a coarse-grained backfill soil. The model results were compared with laboratory results to verify the accuracy. The results indicated that conical filter systems contribute to higher soil piping rates but provide higher permeability than conventional geotextile filtration system counterparts. The model predictions compared with the laboratory measurements indicated that the movement of particles (i.e. suffusion) influenced the soil-geotextile contact zone permeabilities and caused a decrease in system permeabilities. A retention ratio, alpha sl, successfully predicted piping rates for different types of woven geotextiles with a percent error range of 13-29%. Overall, the model predictions matched the laboratory results within an order of magnitude or less, indicating the predictive capability of the model.
引用
收藏
页码:3 / 17
页数:15
相关论文
共 50 条
  • [21] Semi-Autogenous Wet Grinding Modeling with CFD-DEM
    Lvov, Vladislav
    Chitalov, Leonid
    MINERALS, 2021, 11 (05)
  • [22] CFD-DEM modeling of particle dissolution behavior in stirred tanks
    Li, Zhengquan
    Wang, Yide
    Li, Kaixuan
    Zhang, Boqun
    Chen, Huimin
    POWDER TECHNOLOGY, 2024, 442
  • [23] CFD-DEM Simulation for Filtration Performance of Biomimetic Irregular Fiber Media Inspired by Tennis Shrimp Filter-Feeding
    Fan, Jianhua
    Xu, Jintong
    Wang, Xiangqin
    Yang, Kun
    Wang, Lu
    Chen, Jinshi
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2025, 64 (14) : 7574 - 7586
  • [24] Investigating effect of particle shape on suffusion by CFD-DEM modeling
    Xiong, Hao
    Wu, Han
    Bao, Xiaohua
    Fei, Jianbo
    CONSTRUCTION AND BUILDING MATERIALS, 2021, 289
  • [25] CFD-DEM simulations of hydrodynamics of combined ion exchange-membrane filtration
    Naukkarinen, Tomi
    Nikku, Markku
    Turunen-Saaresti, Teemu
    CHEMICAL ENGINEERING SCIENCE, 2019, 208
  • [26] CFD-DEM simulation of the filtration performance for fibrous media based on the mimic structure
    Qian, Fuping
    Huang, Naijin
    Lu, Jinli
    Han, Yunlong
    COMPUTERS & CHEMICAL ENGINEERING, 2014, 71 : 478 - 488
  • [27] Numerical simulation of the filtration process in fibrous filters using CFD-DEM method
    Yue, Chang
    Zhang, Quan
    Zhai, Zhiqiang
    JOURNAL OF AEROSOL SCIENCE, 2016, 101 : 174 - 187
  • [28] CFD-DEM modeling of seepage erosion around shield tunnels
    Zhang, Dong-Mei
    Gao, Cheng-Peng
    Yin, Zhen-Yu
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2019, 83 : 60 - 72
  • [29] Analysis of hydrodynamic filtration performance in a cross-step filter for drip irrigation based on the CFD-DEM coupling method
    Xu, Zhou
    Mao, XinYu
    Gu, YongJing
    Chen, Xing
    Kuang, Wei
    Wang, RunZhi
    Shao, XiaoHou
    BIOSYSTEMS ENGINEERING, 2023, 232 : 114 - 128
  • [30] Hydrodynamics of expanded bed adsorption studied through CFD-DEM
    Nijssen, Tim M. J.
    Padding, Johan T.
    Ottens, Marcel
    CHEMICAL ENGINEERING SCIENCE, 2023, 280