A Theoretical Model to Predict the Critical Hydraulic Gradient for Soil Particle Movement under Two-Dimensional Seepage Flow

Huang, Zhe; Bai, Yuchuan; Xu, Haijue; Cao, Yueying; Hu, Xiaojun

doi:10.3390/w9110828

Cited by 22 publications

(10 citation statements)

References 35 publications

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“…The research articles included in this special issue specifically targeted three areas that are key to better understanding streambank erosion and failure, namely, monitoring [8][9][10][11], modeling [12][13][14][15][16][17], and management [18][19][20][21]. As an ensemble, the articles highlight the value of monitoring campaigns to characterize the effect of external drivers (e.g., hydrologic events), the capabilities and limitations of numerical models for predicting the response of the system (e.g., stream restoration design), and the effectiveness of management practices to prevent and mitigate the impacts of streambank erosion and failure.…”

Section: Main Outcomes Of the Special Issuementioning

confidence: 99%

“…Nonetheless, their results indicate that the degree of variability associated with the model's predictions was not as high as that associated with the JET-derived erodibility parameters. Huang et al [13] developed and validated a two-dimensional (2D) analytical model to predict critical hydraulic gradient for particle entrainment due to seepage flow. They examined the effect of various parameters (e.g., soil internal instability) on the results and proposed a methodology to calculate the initiation probability of particle movement.…”

Section: Modelingmentioning

confidence: 99%

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Streambank Erosion: Advances in Monitoring, Modeling and Management

Castro‐Bolinaga

Fox

2018

Water

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The special issue “Streambank Erosion: Monitoring, Modeling, and Management” presents recent progress and outlines new research directions through the compilation of 14 research articles that cover topics relevant to the monitoring, modeling, and management of this morphodynamic process. It contributes to our advancement and understanding of how monitoring campaigns can characterize the effect of external drivers, what the capabilities and limitations of numerical models are when predicting the response of the system, and what the effectiveness of different management practices is in order to prevent and mitigate streambank erosion and failure. The present editorial paper summarizes the main outcomes of the special issue, and further expands on some of the remaining challenges within the realm of monitoring, modeling, and managing streambank erosion and failure. First, it highlights the need to better understand the non-linear behavior of erosion rates with increasing applied boundary shear stress when predicting cohesive soil detachment, and accordingly, to adjust the computational procedures that are currently used to obtain erodibility parameters; and second, it emphasizes the need to incorporate process-based modeling of streambank erosion and failure in the design and assessment of stream restoration projects.

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Section: Main Outcomes Of the Special Issuementioning

confidence: 99%

Section: Modelingmentioning

confidence: 99%

Streambank Erosion: Advances in Monitoring, Modeling and Management

Castro‐Bolinaga

Fox

2018

Water

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“…At present, it is the common to study the CHG in terms of the seepage conditions combined with physical and geometric conditions. For example, a formula for calculating the CHG of internal erosion for various grain sizes in sand gravels was established by Mao et al (2009); Huang et al (2017) established a theoretical model under two-dimensional seepage flow and showed that the seepage direction angle was positively related to the CHG; Xie et al (2018) found that CHG increases as the degree of compaction and clay content increases when investigating the failure mechanism of internal erosion at soil-structure interfaces by a homemade device; Yang and Wang (2017) also designed a new apparatus for investigating piping failures and CHG between uniform sands and gap-graded soils and compared the values of CHG measured with uniform sand and gag-graded soil with Terzaghi's theoretical values.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Piping Erosion Mechanism of Gap-Graded Soils Under a Supercritical Hydraulic Gradient

Chen

Wan

et al. 2021

Preprint

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Seepage-induced piping erosion is observed in many geotechnical structures. This paper studies the piping mechanism of gap-graded soils during the whole piping erosion failure process under a supercritical hydraulic gradient. We define the supercritical ratio Ri and study the change in the parameters such as the flow velocity, hydraulic conductivity, and fine particle loss with Ri. Under steady flow, a formula for determining the flow velocity state of the sample with Ri according to the fine particle content and relative density of the sample was proposed; during the piping failure process, the influence of Rimax on the rate at which the flow velocity and hydraulic conductivity of the sample increase as Ri decreases was greater than that of the initial relative density and the initial fine particle content of the sample. Under unsteady flow, a larger initial relative density corresponds to a smaller amplitude of increase in the average value of the peak flow velocity with increasing Ri. Compared with the test under steady flow, the flow velocity under unsteady flow would experience abrupt changes. The relative position of the trend line L of the flow velocity varying with Ri under unsteady flow and the fixed peak water head height point A under steady flow were related to the relative density of the sample.

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“…It was concluded that the internal stability of soil has a crucial impact on suffusion (Nguyen, Benahmed, Andò, et al, 2019). Unstable gap-graded cohesionless soil is especially vulnerable to the phenomenon (Huang, Bai, Xu, Cao, & Hu, 2017;Ke & Takahashi, 2012;Skempton & Brogan, 1994). The unstable soil has an apparently lower critical hydraulic gradient, which is a common criterion for evaluating the critical conditions for suffusion, when the seepage forces reach certain critical values and onset of suffusion in the soils begins.…”

Section: Introductionmentioning

confidence: 99%

“…The suffusion is a sediment transport process driven by internal seepage flow, whereas the bedload sediment transport in the fluvial environment is driven by the riverine flow. The bedload sediment transport can be estimated theoretically with a force analysis method (Chen, Bai, & Xu, 2017;Li, Sun, & Lin, 2018), whereas for suffusion, despite the usage in evaluating the onset of particle movement (Huang et al, 2017;Indraratna & Radampola, 2002;Indraratna & Vafai, 1997), the analysis method has not been used to estimate the soil particle transport rate during the process. Whether the method is suitable to explain soil particle movement development in seepage-induced suffusion has not been addressed in previous studies.…”

Section: Introductionmentioning

confidence: 99%

A theoretical model to predict suffusion‐induced particle movement in cohesionless soil under seepage flow

Huang

Bai

et al. 2020

European J Soil Science

Self Cite

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Suffusion is a grave threat leading to accidents in embankment dams across the world. The process has been widely studied experimentally and numerically with gap‐grading cohesionless soil. One of the direct observations in the studies is the finer particle loss of the soil. However, the movement of the finer particles in the numerical models is commonly predicted with an empirical law. This paper proposes a theoretical particle movement model based on the force balance of soil particles and a probability distribution of the soil pores under one‐dimensional upward seepage flow. In the proposed model, the velocity and the critical movement state of soil particles were deduced, and a method to predict the critical hydraulic gradient was established. The finer particle movement rate was estimated theoretically using the particle movement velocity and probability. The model was verified with several experiments and showed a good consistency in the critical hydraulic gradient, seepage velocity, finer particle loss and hydraulic conductivity. Finally, the changes in the soil parameter during the suffusion process, the effects of the hydraulic gradient and initial porosity and the model applicability are discussed quantitatively. The results indicate that the modelled soil parameter changes match well with the movement characteristics of the finer particles observed in the experiment. The particle movement process is very sensitive to changes in the hydraulic gradient and soil initial porosity. The theoretical model provides a new method to assess the suffusion process for internal unstable cohesionless sand soil.Highlights A evaluation model of the suffusion‐induced soil particle movement was proposed The model was established based on force equilibrium of soil particles The model was credible in varied factors based on experiment data The model evaluated suffusion process, variables affects and model applicability were discussed

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A Theoretical Model to Predict the Critical Hydraulic Gradient for Soil Particle Movement under Two-Dimensional Seepage Flow

Cited by 22 publications

References 35 publications

Streambank Erosion: Advances in Monitoring, Modeling and Management

Streambank Erosion: Advances in Monitoring, Modeling and Management

Experimental Study on the Piping Erosion Mechanism of Gap-Graded Soils Under a Supercritical Hydraulic Gradient

A theoretical model to predict suffusion‐induced particle movement in cohesionless soil under seepage flow

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