Progression of backward erosion piping with sudden and gradual hydraulic loads

2021 ◽  
Author(s):  
Gang Zheng ◽  
Jingbo Tong ◽  
Tianqi Zhang ◽  
Charles W. W. Ng
Author(s):  
Mitsu OKAMURA ◽  
Naoko JIN-NOUCHI ◽  
Tetsuji ONO ◽  
Tsuyoshi OOYABU ◽  
Shutaro TSUKADA

2021 ◽  
Vol 132 ◽  
pp. 103992
Author(s):  
Manuel Wewer ◽  
Juan Pablo Aguilar-López ◽  
Matthijs Kok ◽  
Thom Bogaard

2021 ◽  
Vol 138 ◽  
pp. 104322
Author(s):  
B.A. Robbins ◽  
D.V. Griffiths ◽  
Gordon A. Fenton

2018 ◽  
Vol 14 (3) ◽  
pp. 783-794 ◽  
Author(s):  
Kristine Vandenboer ◽  
François Celette ◽  
Adam Bezuijen

2021 ◽  
Author(s):  
Axel Montalvo-Bartolomei ◽  
Bryant Robbins ◽  
Jamie López-Soto

Backward erosion piping (BEP) is an internal erosion mechanism by which erosion channels progress upstream, typically through cohesionless or highly erodible foundation materials of dams and levees. As one of the primary causes of embankment failures, usually during high pool events, the probability of BEP-induced failure is commonly evaluated by the U.S. Army Corps of Engineers for existing dams and levees. In current practice, BEP failure probability is quantitatively assessed assuming steady state conditions with qualitative adjustments for temporal aspects of the process. In cases with short-term hydraulic loads, the progression rate of the erosion pipe may control the failure probability such that more quantitative treatment of the temporal development of erosion is necessary to arrive at meaningful probabilities of failure. This report builds upon the current state of the practice by investigating BEP progression rates through a series of laboratory experiments. BEP progression rates were measured for nine uniform sands in a series of 55 small-scale flume tests. Results indicate that the pipe progression rates are proportional to the seepage velocity and can be predicted using equations recently proposed in the literature.


2018 ◽  
Vol 18 (5) ◽  
pp. 266-279 ◽  
Author(s):  
Bryant A. Robbins ◽  
Vera M. van Beek ◽  
Jamie F. López-Soto ◽  
Axel M. Montalvo-Bartolomei ◽  
John Murphy

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