Quick assessment on susceptibility to suffusion of continuously graded soils by curvature of particle size distribution

To, Peter; Scheuermann, A.; Williams, David J.

doi:10.1007/s11440-017-0611-8

Cited by 16 publications

(5 citation statements)

References 17 publications

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“…The detection principle of the machine is to use a monochromatic laser of a certain wavelength as a light source. The spatial distribution of the diffracted and scattered light energy is only related to the particle size, so that the particle size distribution (PSD) curve of the soil is obtained 39–41 . Moreover, the measuring range of the analyzer lies in the range of 0.02–2600 μm and contains 100 particle size classes.…”

Section: Methodsmentioning

confidence: 99%

“…The spatial distribution of the diffracted and scattered light energy is only related to the particle size, so that the particle size distribution (PSD) curve of the soil is obtained. [39][40][41] Moreover, the measuring range of the analyzer lies in the range of 0.02-2600 μm and contains 100 particle size classes. The PSD curve of the test soil is shown in Figure 1.…”

Section: Shaking Table Testmentioning

confidence: 99%

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Experimental model updating of slope considering spatially varying soil properties and dynamic loading

Wang,

Ouyang,

Fragkoulis

et al. 2024

Earthquake Engineering and Resilience

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The widespread threat posed by slope structure failures to human lives and property safety is widely acknowledged. Additionally, natural soil often displays spatial variability due to geological deposition and other factors. Therefore, predicting the seismic response of slopes subjected to ground motions and inversely analyzing the spatial distribution of soils remains an unresolved issue. In the present work, a shaking table experimental test is first designed and carried out, in which a soft‐soil slope dynamic system is established. To capture the seismic response of the soft‐soil slope, specifically the experimental characteristic of acceleration and soil pressure response in both spatial domain and time domain, a series of sensors were pre‐embedded in the slope. Subsequently, a model updating approach is proposed for slope seismic analysis that incorporates spatial variability of soil. In addition, to enhance computational efficiency, the dimensionality reduction of Karhunen–Loève expansion method is introduced to reduce inverse analysis parameters. On the basis of 34 samples collected from experimental data, it is shown that near‐fault pulse‐like ground motions deliver greater concentrated energy, causing more severe damage to slope structures, especially the topsoil layer. Furthermore, using data obtained from a shaking table test subjected to ground motion Recorded Sequence Number 158H1 from the Pacific Earthquake Engineering Research Center NGA‐West2 database as an example, it is also shown that the proposed approach demonstrates high accuracy in predicting the spatial distribution of the maximum shear modulus in soil slope dynamic systems. The present work not only addresses the challenges posed by mainshock–aftershock effects but also highlights the potential of model updating approaches to enhance the understanding of slope behavior under seismic loading conditions.

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Section: Methodsmentioning

confidence: 99%

Section: Shaking Table Testmentioning

confidence: 99%

Experimental model updating of slope considering spatially varying soil properties and dynamic loading

Wang,

Ouyang,

Fragkoulis

et al. 2024

Earthquake Engineering and Resilience

View full text Add to dashboard Cite

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“…1). The gap width is not too big so that the soils are still considered as continuously graded for internal erosion assessment [8]. In this study, the gap levels are at 26, 34, 42, 50, and 59%.…”

Section: Probability Analysismentioning

confidence: 99%

“…For examples with the same d 10 and d 60 , a PSD can be either gap-graded or continuously graded. A recent quick method proposed to use a flexible key size to estimate the susceptibility to erosion for only continuously graded soils [8]. Some analytical and numerical studies proposed to compare the fine particles with pore constrictions, formed by coarse particles [9,10].…”

Section: Introductionmentioning

confidence: 99%

Segregation Index—A New Soil Parameter for Internal Erosion Assessment

Van

2021

Lecture Notes in Civil Engineering

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Internal erosion is a major cause related to nearly half of dam dysfunctions and failures. This phenomenon occurs when loose soil particles are transported outwards the soil mass by seepage through a series of pores and pore constrictions. As loose particles are usually fine and embedded in the pores formed by the soil primary fabric, traditional methods often correlate the representative sizes of fine and coarse particles to indicate the susceptibility to internal erosion of an assessed soil. These methods are not very accurate because soil particle size distribution can vary widely with several identical key sizes. This paper presents a new indicator for internal erosion assessment using the probability to be transported of loose particles: the segregation index. This index is estimated experimentally and analytically for the correlation with internal erosion test results. The index also has a significant role in the estimation of real effective stress of soils.

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“…The study in [2] presents a new quick assessment method to determine the susceptibility to suffusion based on the general curvature of particle size distribution. The farther the particle size distribution deviates from its centerline, the more likely it is to behave severely.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of fluid filtration in three-layer interacting pressure porous formations

et al. 2021

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A mathematical model was developed to numerically study the process of fluid and gas filtration in three-layer interacting pressure porous formations. It is based on the reviews related to the mathematical modeling developed in recent years; it describes a system of partial differential equations with boundary and initial conditions and a conservative numerical algorithm for conducting a computational experiment (CE) on a computer. In this article, to analyze and make managerial decisions, the results of numerical calculations are presented in the form of graphical objects, which can be used to propose schemes for the location and capacity of vertical drainage wells to protect irrigated and non-irrigated areas from flooding. Using the proposed mathematical tool, it is possible to obtain the predicted groundwater levels of any area for the required period of time, taking into account some factors, such as the inhomogeneity of the reservoir in a plan, the slope of the confining layer, and other hydrogeological, hydro-technical, and natural conditions, or to calculate the thickness and the optimal location of vertical drainage wells to protect the territory, and to develop oil and gas fields and increase their oil and gas recovery. Analysis of the results of a numerical study of the process made it possible to establish the degrees of influence of the elastic filtration regime in a weakly permeable layer on the overflow into adjacent layers.

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Quick assessment on susceptibility to suffusion of continuously graded soils by curvature of particle size distribution

Cited by 16 publications

References 17 publications

Experimental model updating of slope considering spatially varying soil properties and dynamic loading

Experimental model updating of slope considering spatially varying soil properties and dynamic loading

Segregation Index—A New Soil Parameter for Internal Erosion Assessment

Numerical study of fluid filtration in three-layer interacting pressure porous formations

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