Hydraulic failures of earthen dams and embankments

Talukdar, Priyanka; Dey, Arindam

doi:10.1007/s41062-019-0229-9

Cited by 34 publications

(16 citation statements)

References 40 publications

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“…Over 70% of dams worldwide are constructed using soil; consequently, they are vulnerable to leakage and internal erosion due to heavy rain and other factors [1,2]. Climate variability has exacerbated these vulnerabilities, increasing the frequency of dam failures [3].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Seepage Analysis of Gabion Retaining Wall Structure for Preventing Overtopping in Reservoir Dams

Lee,

Han,

Kim

et al. 2024

Applied Sciences

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Recently, heavy rains caused by climate change have resulted in dam failures due to overtopping. This study presents a design method aiming to prevent overtopping failures by applying gabion retaining walls at the dam crest. Simulations, experiments, and measurements were conducted to evaluate the effectiveness of this design. The design framework aims to establish a system in which gabion retaining walls prevent overtopping when water levels exceed the crest of the dam, efficiently draining seepage water into the dam body through vertical filters. Research findings indicate that implementing dam crest core and geomembrane design effectively prevents seepage and saturation of the downstream slope during overtopping events. Notably, the reservoir dam operates in a stable manner, as seepage water passing through the dam body is directed solely to the toe drain. Overall, this design approach suggests its potential as a practical solution by significantly reducing hazards resulting from heavy rainfall.

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Section: Introductionmentioning

confidence: 99%

Experimental and Seepage Analysis of Gabion Retaining Wall Structure for Preventing Overtopping in Reservoir Dams

Lee,

Han,

Kim

et al. 2024

Applied Sciences

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“…The accurate prediction of FOS is an indicator used for the stability of dike slope during water flow seepage [25].The validation of wave dissipation of slope breaches is highly required for obtaining run-up and overtopping over the structure [26]. However, a previous study on physical experimental tests and numerical models [27], demonstrated that the influence of some important geotechnical and hydraulic parameters on the development of matric suction, volumetric water content and slope stability remains unclear. Examples of these geotechnical and hydraulic aspects include different soil types for upstream and downstream slopes.…”

Section: Introductionmentioning

confidence: 99%

Numerical Modeling for the Effect of Soil Type on Stability of Embankment

2022

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Dike construction has been widely used because of its potential to protect people and properties from overtopping flows. Water levels may exceed a dike crest and cause overtopping flow during high river discharge. This phenomenon has caused serious damage to the dike body due to the reduction of soil shear strength. The increase of water content within particles and its relationship with the development of breach channel failure in downstream and upstream slopes are affected by a series of geotechnical and hydraulic aspects. Transient seepage and slope stability analyses (FOS) were performed in this study using 2D finite element methods and time-history measurements under the effect of sandy and very silty sand soils. The numerical model of SLIDE 2018 was limited by its inability to incorporate all physical processes governing an overtopping breach failure. Numerical analyses were performed to simulate the development of pore pressures and water content at six positions in the dike’s upstream and downstream slopes in physical experimental tests using the van Genuchten Equation and the limit equilibrium method. The numerical results revealed that fine particles increase the pore water pressure and reduce the FOS. Appropriate dike design and maintenance are dependent on surrounding hydraulic conditions, dimensions, and soil types. Non-cohesive materials with fine particles were preferable. Doi: 10.28991/CEJ-SP2021-07-04 Full Text: PDF

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“…Dams are important hydraulic infrastructures in water resources planning and management, as they play an important role in supplying water for drinking and irrigation purposes, energy production, recreation, and flood control. However, these infrastructures present potential risks related to their failure, which can generate a flood disaster downstream losing life and economic damage (El Bilali et al, 2021;Talukdar and Dey, 2019). Consequently, managing dams requires integrating double issues such as dam safety and effective operations to manage the water resources.…”

Section: Introductionmentioning

confidence: 99%

Predicting Daily Pore Water Pressure in Embankment Dam Using Machine Learning Models and Hydrostatic Seasonal Time Approach

Bilali

Moukhliss

Taleb

et al. 2021

Preprint

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Prediction-based approaches are valuable in assessing dam safeties, as they allow comparing the actual measurements with the projected values to detect anomalies early. For two decades, machine learning (ML) algorithms have been developed and improved to help in accurately predicting the dam behaviors. However, the generalization ability (GA) of these models is not analyzed enough in dam engineering. In this study, the Multiple Linear Regression (MLR), Artificial Neural Network (ANN), Support Vector Regression (SVR), and Adaptive Boosting (AdaBoost) models with nonlinear autoregressive exogenous inputs (NARX) are evaluated and compared with the conventional Hydrostatic Seasonal Time (HST) model for predicting the daily pore water pressure in an embankment Dam. Moreover, we proposed a classification method of the model into four categories ‘’Perfect’’, ‘’Excellent’’, ‘’Good’’, and ‘’Poor’’ according to the GA. Results showed that, except for the AdaBoost, the other ML models outperformed the traditional statistical approach (HST) in terms of prediction accuracy as well as the GA. Overall; the study results provide new insights in enhancing the monitoring processes and dam safeties by detecting the anomalies early through the measurements and the selection of the best fitted-models.

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Hydraulic failures of earthen dams and embankments

Cited by 34 publications

References 40 publications

Experimental and Seepage Analysis of Gabion Retaining Wall Structure for Preventing Overtopping in Reservoir Dams

Experimental and Seepage Analysis of Gabion Retaining Wall Structure for Preventing Overtopping in Reservoir Dams

Numerical Modeling for the Effect of Soil Type on Stability of Embankment

Predicting Daily Pore Water Pressure in Embankment Dam Using Machine Learning Models and Hydrostatic Seasonal Time Approach

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