Exploring the Occurrence of Clogging in Highly Permeable Coarse Soils of Dam Foundations

Ma, Jianquan; Han, Ping; Li, Shibo; Duan, Zhao; Zhang, Xinshe; Ma, Donghe

doi:10.1155/2020/8868052

Cited by 4 publications

(4 citation statements)

References 38 publications

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“…Combined with the description of the coarse soil clogging phenomenon, these fine particles may cause internal partial pore blockage, but according to the clogging pattern criteria in the study of seepage clogging of coarse soil on dam foundations above, it was judged to be unclogging. Meanwhile, when determining different clogging patterns in the study of coarse soil clogging [38], the mass percentage clogging in 75% of a certain layer was defined as demarcation. However, coarse slag clogging studies show fine particles mass clogging or sediments along the column cannot meet the 75% standard.…”

Section: Clogging Assessment Criterion Based On Different Methods For...mentioning

confidence: 99%

“…The particle size of the slag in the study area was basically coarse, mainly gravel and pebble, and the particle size of accumulated slag particles larger than 2 mm accounted for nearly 80% (Figure 1c). To assess the impact of slag particle size and slag accumulation density on clogging, model experiments in 5 different coarse slag particle sizes and 3 different dry densities of graded distribution slag were set up; the particle size distributions of all the materials were in accordance with the Udden-Wentworth scale [37,38]. The solid red line in Figure 1c shows the particle size distribution of the slag and Table 1 lists the scheme and parameters for the 8 experiments.…”

Section: Experimental Design and Apparatusmentioning

confidence: 99%

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Experimental Study on the Clogging Performance of Waste Slag

Li,

Chen,

et al. 2024

Water

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The fine particles around a mining area are easy to transport under the climatic and hydrological actions such as rainfall, that causes the change in the permeability of accumulated slag and increases the hazard probability of slag debris flow. In this study, eight experiments were designed to discuss the influence of fine particle migration on the permeability characteristics and clogging of slag accumulation in different graded particles and different dry densities. The results of experiments with coarse slags of five different particle sizes show that the ratio ranging from four to six in the coarse slag size and fine size caused a significant clogging phenomenon. It is confirmed that the shape of the particles is one of the factors affecting the clogging of coarse soil besides the coarse and fine particle size, and the clogging assessment criterion for slag and the corresponding clogging patterns based on the slag shape characteristics are given. And through three kinds of different dry density-graded slag, three clogging experiments were completed to verify the clogging standard and clogging particle size. The experimental results show that the clogging particle size obtained by the clogging criteria can effectively reduce the permeability of slag accumulation, and it is considered that the equivalent particle size and particle shape characteristics are the main factors affecting the clogging performance of accumulation, while the dry density of deposits has no significant influence on it.

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Section: Clogging Assessment Criterion Based On Different Methods For...mentioning

confidence: 99%

Section: Experimental Design and Apparatusmentioning

confidence: 99%

Experimental Study on the Clogging Performance of Waste Slag

Li,

Chen,

et al. 2024

Water

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“…MP and NP are the lower boundaries. 5 Geofluids size ratio between fine grains and coarse grains of tailing deposits [48,49].…”

Section: Verification Of the Modelmentioning

confidence: 99%

Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio

Liang

et al. 2021

Geofluids

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Minimum void ratio of tailings and its value change with fine content and are key design parameters for tailing consolidation and seepage stability. Based on the distribution of tailing grains with the sedimentary beach, we establish a minimum void ratio model for tailing grain in binary size, which requires only two parameters ( ε and ω ). Calibrations of the model using 168 groups of tests (22 kinds of grain size ratios with 7-9 kinds of fine contents) show two parameters that are fitting for power function, and the exponent values increase with the dominant grain size expanded. Besides, the exponent values are related to the equivalent grain size ratio, dominant grain size, and shape characteristics. The minimum void ratios with fine content are predicted under the derived model. Good agreement was obtained between the predictions and measurements, and the average discrepancies are less than 10%. And optimal void ratio and optimal fine content can be predicted, and the values are in good agreement with the experimental ones. Furthermore, based on the predicted optimal void ratio, the exponential relationship between the optimal void ratio and the equivalent grain size ratio may have no influence on the derived dominant grain size and shape characteristics. For tailings, further work is needed to verify if the derived exponential relationship between the optimal void ratio and the equivalent grain size ratio is valid.

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“…Tailings, as artificial accumulations of rock and soil, have certain regularity in terms of their particle size distribution [1]. In particular, the content of coarse and fine particles has a regular distribution with the length of the sedimentary beach, making tailings with different particle sizes and contents exhibit different pore characteristics and structures, which affects the consolidation degree, seepage characteristics, and the location of the infiltration line of the tailings [2]. Therefore, the accurate and simple determination of the pore characteristics has practical engineering significance for the design of tailings dams and their safe operation [3,4].…”

Section: Introductionmentioning

confidence: 99%

Copula-Based Method for Estimating the Minimum Void Ratio Parameters of Tailings Deposits

Tang

et al. 2021

Geofluids

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The pore ratio is an important parameter affecting the stability and safety of tailings reservoirs; however, the relationship between the pore ratio and physical properties of tailings sand has not been researched in-depth. In this paper, using the tailings from a tungsten mine in southern Shaanxi as a case study, the correlation between the minimum void ratio and related parameters is analyzed, based on laboratory test data, and the optimal marginal distribution function of the parameters is determined. The Gumbel-Hougard copula function that best describes the correlation between parameters is identified, and it is used to establish the joint probability distribution model of the three parameters, and the guarantee rate α is introduced to estimate and analyze the minimum void ratio. The results show that the optimal edge distribution of the fine particle content and specific gravity follows a truncated normal distribution, and the optimal edge distribution of the minimum void ratio follows a logarithmic normal distribution. According to AIC criterion, the Gumbel-Hougard copula is the best three-dimensional copula function to fit the minimum void ratio and related parameters. When the guarantee rate α is 0.485, the joint probability distribution model achieves optimal performance in terms of estimating the minimum void ratio. The maximum error of the estimation is 1.99%, which is verified through data, and the estimation meets the requirements for practical engineering. The method proposed in this paper uses the existing measured data to establish a joint probability distribution model and combines the collected fine particle content and specific gravity data with the guarantee rate to estimate the minimum void ratio, providing a novel basis for the study of the physical properties of tailings.

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Exploring the Occurrence of Clogging in Highly Permeable Coarse Soils of Dam Foundations

Cited by 4 publications

References 38 publications

Experimental Study on the Clogging Performance of Waste Slag

Experimental Study on the Clogging Performance of Waste Slag

Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio

Copula-Based Method for Estimating the Minimum Void Ratio Parameters of Tailings Deposits

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