Effect of clay fraction and mineralogy on fall cone results of clay–sand mixtures

Karakan, Eyyüb; Shimobe, Satoru; Sezer, Alper

doi:10.1016/j.enggeo.2020.105887

Cited by 20 publications

(14 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many studies also focused on the relationship between cone penetration and water content. For more than twenty years, Fall-cone tests were frequently used to determine not only the liquid limit but also the plastic limit of cohesive soils [6,33,41,43,46,47]. Under these circumstances, it is clear that a constant cone penetration value cannot be obtained at different water contents for natural soils, clay-sand mixtures, sand-clay mixtures, sandy soils or clayey soils.…”

Section: Variation Of Cone Penetration With Water Contentmentioning

confidence: 99%

“…Many researchers [27,28] in the literature performed studies to obtain the plastic limit using results of the Fallcone method. Nevertheless, some researchers [5,6,29,30] attempted to recover the plastic limit by fixing the ratio of strength in the plastic limit to the liquid limit at a certain value, which ranged between 70 and 100.…”

Section: Introductionmentioning

confidence: 99%

“…Many researchers [6,[38][39][40] carried out several experimental studies to show the variation of undrained strength of soil with water content. Equation (4) shows the liquidity index (IL) obtained using both the Fallcone and the Casagrande methods.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Karakan¹

2022

Preprint

View full text Add to dashboard Cite

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.

show abstract

Section: Variation Of Cone Penetration With Water Contentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Karakan¹

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The undrained shear strength of the (𝐶 𝑢 ) soil is an important design parameter in geotechnical and transportation engineering. Designs of foundation, pavement, stability of embankments, dams, offshore structures, retaining wall and excavation in cohesive soils depend on 𝐶 𝑢 which is function of water, soil type and measurement methods (Gürbüz and Dinçergök 2009;Kayabalı and Tüfenkçi, 2010;Karakan et al 2020;Budak et al 2022). The determination of the undrained shear strength of the soil is a noteworthy, time consuming and costly process and it requires faster loading for simulation of undrained condition in the field.…”

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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).

show abstract

“…These studies were dependent on plastic limit determination using sieve # 40 passing material and did not take into account the plastic limit determination using sieve # 200 passing material. Moreover, it has actually been recognized that PL of soil is dependent on clay, silt, and coarse content [ 24 ]. The earlier studies have used an experimental route to determine PL using sieve # 200, and no attempt has been made in the recent times, to the best of the authors’ knowledge, to predict PL 200 using gene expression programming (GEP) that integrates clay, silt, and sand content.…”

Section: Introductionmentioning

confidence: 99%

A robust prediction model for evaluation of plastic limit based on sieve # 200 passing material using gene expression programming

et al. 2022

View full text Add to dashboard Cite

This study aims to propose a novel and high-accuracy prediction model of plastic limit (PL) based on soil particles passing through sieve # 200 (0.075 mm) using gene expression programming (GEP). PL is used for the classification of fine-grained soils which are particles passing from sieve # 200. However, it is conventionally evaluated using sieve # 40 passing material. According to literature, PL should be determined using sieve # 200 passing material. Although, PL200 is considered the accurate representation of plasticity of soil, its’ determination in laboratory is time consuming and difficult task. Additionally, it is influenced by clay and silt content along with sand particles. Thus, artificial intelligence-based techniques are considered viable solution to propose the prediction model which can incorporate multiple influencing parameters. In this regard, the laboratory experimental data was utilized to develop prediction model for PL200 using gene expression programming considering sand, clay, silt and PL using sieve 40 material (PL40) as input parameters. The prediction model was validated through multiple statistical checks such as correlation coefficient (R2), root mean square error (RMSE), mean absolute error (MAE) and relatively squared error (RSE). The sensitivity and parametric studies were also performed to further justify the accuracy and reliability of the proposed model. The results show that the model meets all of the criteria and can be used in the field.

show abstract

Effect of clay fraction and mineralogy on fall cone results of clay–sand mixtures

Cited by 20 publications

References 63 publications

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

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

A robust prediction model for evaluation of plastic limit based on sieve # 200 passing material using gene expression programming

Contact Info

Product

Resources

About