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.
机构:
College of Mechanical Engineering, Zhejiang University of Technology, HangzhouCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou
Zheng S.
Tan D.-P.
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机构:
College of Mechanical Engineering, Zhejiang University of Technology, HangzhouCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou
Tan D.-P.
Li L.
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机构:
College of Mechanical Engineering, Zhejiang University of Technology, HangzhouCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou
Li L.
Zhu Y.-L.
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机构:
College of Mechanical Engineering, Zhejiang University of Technology, HangzhouCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou
Zhu Y.-L.
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science),
2019,
53
(07):
: 1237
-
1251
机构:
Cent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R ChinaCent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R China
Zhu, Zhenyu
Zhou, Ping
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机构:
Cent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R ChinaCent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R China
Zhou, Ping
Chen, Zhuo
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机构:
Cent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R ChinaCent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R China
Chen, Zhuo
Wu, Dongling
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机构:
Cent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R ChinaCent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R China
Wu, Dongling
Kuang, Shibo
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机构:
Monash Univ, Dept Chem Engn, ARC Res Hub Smart Proc Design & Control, Wellington Rd, Clayton, Vic 3800, AustraliaCent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R China
机构:
Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
Li, Xingyue
Zhao, Jidong
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机构:
Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China