Relationships between undrained shear strength, liquidity index, and water content ratio of clays

Shimobe, Satoru; Spagnoli, Giovanni

doi:10.1007/s10064-020-01844-5

Cited by 18 publications

(9 citation statements)

References 72 publications

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“…For this reason, researchers working on this subject have carried out experiments using as many different variables as possible and obtained different correlations. One of the most important variables here; is the limit values of the soil sample studied [15,16].…”

Section: Existing Correlationsmentioning

confidence: 99%

Investigation of the correlation between California bearing ratio and shear strength of pavement subgrade material with different water contents

GÖKOVA

2022

Journal of Innovative Transportation

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Section: Existing Correlationsmentioning

confidence: 99%

Investigation of the correlation between California bearing ratio and shear strength of pavement subgrade material with different water contents

GÖKOVA

2022

Journal of Innovative Transportation

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“…Since there is a well-known relationship between the undrained shear strength and the liquidity index of clays, many equations were proposed by past researchers by using different regional characteristics and clay mineral types [22,34,39,41,51,55]. Therefore, Figures from 5a to 5c reveal that a unique relationship does not exist, at least for fine grained soils.…”

Section: Variation Of Undrained Shear Strength With Liquidity Index A...mentioning

confidence: 99%

“…Figure5also shows the LL and PL boundaries for all three mixtures. It can easily be inferred that in NaM-CaM mixtures with very high plasticity, the LI was less than 0, however, a similar behavior was not observed in NaM-K and NaM-S blends, which have a much lower plasticity.Since there is a well-known relationship between the undrained shear strength and the liquidity index of clays, many equations were proposed by past researchers by using different regional characteristics and clay mineral types[22,34,39,41,51,55]. Therefore, Figures from 5a to 5c reveal that a unique relationship does not exist, at least for fine grained soils.…”

mentioning

confidence: 99%

Comparative Analysis of Atterberg Limits, Liquidity Index, Flow Index and Undrained Shear Strength Behavior in Binary Clay Mixtures

Karakan¹

2022

Preprint

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In geotechnical engineering applications, it is very important to obtain the undrained shear strength of remolded soils accurately and reliably. This study aims to obtain a trustworthy solution to determine the undrained shear strength of remolded clay mixtures using Atterberg limit test results in various states of consistency. An experimental study was carried out involving a wide range of clay mixtures of varying plasticity and geological origin. In the analyses, the variation of the remolded undrained shear strength depending on the cone penetration depth, water content, flow index, liquidity index and log liquidity index were investigated. In the study, the highest undrained shear strength of 100% Na-montmorillonite (NaM) was obtained at 171.89 kPa at 56.60% water content, while the lowest undrained shear strength was obtained for 100% Sepiolite (S), 9.28 kPa at 31.65% water content. The results of this study revealed that the shear strength is significantly affected by soil conditions, rather than dominant clay mineral. Besides, it was observed that the undrained shear strength at the plastic limit was approximately 30-35 times greater than that at liquid limit. The equations of liquid limit-flow index and plasticity index- flow index were proposed. It was concluded that the interdependence between undrained shear strength, liquidity index, log liquidity index, and flow index is not unique due to the different physical and chemical properties of clays.

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“…Additionally, Skempton and Northey (1952) observed that the ratio of 𝐶 𝑢 at liquid limit to 𝐶 𝑢 at plastic limit is approximately 1/100. The literature review reports examined by Shimobe and Spagnoli (2020) shows that the range this ratio varies from 1/360 to 1/13. Undrained shear strength of the soil decreases with an increase in water content (𝑤).…”

Section: Introductionmentioning

confidence: 97%

Prediction of the Undrained Shear Strength of the Remolded Soil with Non-Linear Regression, Fuzzy Logic and Artificial Neural Network

Yünkül

KARAÇOR

Gürbüz

et al. 2023

Preprint

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The aim of this study is to predict the undrained shear strength (Cu) of the remolded soil samples and for this purpose, non-linear regression (NLR) analyses, fuzzy logic (FL) and artificial neural network (ANN) modelling were used to assess. Total 1306 undrained shear strength results of soil types of CH, CL, MH and ML from 230 different remolded soil test settings on 21 publications were collected while six different measurement devices were used by researchers. Although water content, plastic limit and liquid limit were used as input parameters for FL and ANN modelling, liquidity index or water content ratio were considered as input parameter for NLR analyses. In NLR analyses, 12 different regression equations were derived for prediction of Cu. Feed-Forward backpropagation and TANSIG transfer function were used for ANN modelling while Mamdani inference system was preferred with trapezoidal and triangular membership function for FL modelling. The experimental results of 914 tests for training of the ANN models, 196 for validation and 196 for testing were used. It was observed that the accuracy of the ANN and FL modellings were higher than NRL analyses. Furthermore, the simple and reliable regression equation was proposed for assessments of Cu values having higher coefficient of determination values (R2).

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Relationships between undrained shear strength, liquidity index, and water content ratio of clays

Cited by 18 publications

References 72 publications

Investigation of the correlation between California bearing ratio and shear strength of pavement subgrade material with different water contents

Investigation of the correlation between California bearing ratio and shear strength of pavement subgrade material with different water contents

Comparative Analysis of Atterberg Limits, Liquidity Index, Flow Index and Undrained Shear Strength Behavior in Binary Clay Mixtures

Prediction of the Undrained Shear Strength of the Remolded Soil with Non-Linear Regression, Fuzzy Logic and Artificial Neural Network

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