Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils

doi:10.3390/w9100787

	Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils
	Wang, Yu 1,2; Li, Changhong 1,2; Hu, Yanzhi 3; Xiao, Yonggang 1,2
刊名	WATER
	2017-10-01
卷号	9 期号:10
关键词	Bimsoils Critical Hydraulic Gradient (Chg) Response Surface Methodology Multi-parameter Evaluation Laboratory Experiment
ISSN号	2073-4441
DOI	10.3390/w9100787
文献子类	Article
英文摘要	Seepage failure in the form of piping can strongly influence the stability of block-in-matrix-soils (bimsoils), as well as weaken and affect the performance of bimsoil structures. The multiple-factor evaluation and optimization play a crucial role in controlling the seepage failure in bimsoil. The aim of this study is to improve the ability to control the piping seepage failure in bimsoil. In this work, the response surface method (RSM) was employed to evaluate and optimize the multiple piping parameters to maximize the critical hydraulic gradient (CHG), in combination with experimental modeling based on a self-developed servo-controlled flow-erosion-stress coupled testing system. All of the studied specimens with rock block percentage (RBP) of 30%, 50%, and 70% were produced as a cylindrical shape (50 mm diameter and 100 mm height) by compaction tests. Four uncertain parameters, such as RBP, soil matrix density, confining pressure, and block morphology were used to fit an optimal response of the CHG. The sensitivity analysis reveals the influential order of the studied factors to CHG. It is found that RBP is the most sensitive factor, the CHG decreases with the increase of RBP, and CHG increases with the increase of confining pressure, soil matrix density, and block angularity.
WOS关键词	SOIL ; ROCK ; AGGREGATE ; BEHAVIOR ; EROSION ; FLOW
WOS研究方向	Water Resources
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000414707500064
资助机构	Beijing Natural Science Foundation of China(8164070) ; Beijing Natural Science Foundation of China(8164070) ; National Natural Science Foundation of China(41502294) ; National Natural Science Foundation of China(41502294) ; Fundamental Research Funds for the Central Universities(2302017FRF-TP-17-027A1) ; Fundamental Research Funds for the Central Universities(2302017FRF-TP-17-027A1) ; National key technologies Research & Development program(2017YFC0804609) ; National key technologies Research & Development program(2017YFC0804609) ; Beijing Natural Science Foundation of China(8164070) ; Beijing Natural Science Foundation of China(8164070) ; National Natural Science Foundation of China(41502294) ; National Natural Science Foundation of China(41502294) ; Fundamental Research Funds for the Central Universities(2302017FRF-TP-17-027A1) ; Fundamental Research Funds for the Central Universities(2302017FRF-TP-17-027A1) ; National key technologies Research & Development program(2017YFC0804609) ; National key technologies Research & Development program(2017YFC0804609) ; Beijing Natural Science Foundation of China(8164070) ; Beijing Natural Science Foundation of China(8164070) ; National Natural Science Foundation of China(41502294) ; National Natural Science Foundation of China(41502294) ; Fundamental Research Funds for the Central Universities(2302017FRF-TP-17-027A1) ; Fundamental Research Funds for the Central Universities(2302017FRF-TP-17-027A1) ; National key technologies Research & Development program(2017YFC0804609) ; National key technologies Research & Development program(2017YFC0804609) ; Beijing Natural Science Foundation of China(8164070) ; Beijing Natural Science Foundation of China(8164070) ; National Natural Science Foundation of China(41502294) ; National Natural Science Foundation of China(41502294) ; Fundamental Research Funds for the Central Universities(2302017FRF-TP-17-027A1) ; Fundamental Research Funds for the Central Universities(2302017FRF-TP-17-027A1) ; National key technologies Research & Development program(2017YFC0804609) ; National key technologies Research & Development program(2017YFC0804609)
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/82210]
专题	中国科学院地质与地球物理研究所
通讯作者	Li, Changhong
作者单位	1.Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Dept Civil Engn, Beijing Key Lab Urban Underground Space Engn, Beijing 100083, Peoples R China 2.Univ Sci & Technol Beijing, Key Lab, Minist Educ China High Efficient Min & Safety Met, Beijing 100083, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yu,Li, Changhong,Hu, Yanzhi,et al. Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils[J]. WATER,2017,9(10).
APA	Wang, Yu,Li, Changhong,Hu, Yanzhi,&Xiao, Yonggang.(2017).Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils.WATER,9(10).
MLA	Wang, Yu,et al."Optimization of Multiple Seepage Piping Parameters to Maximize the Critical Hydraulic Gradient in Bimsoils".WATER 9.10(2017).