A Review on Correlations for Consolidation Characteristics of Various Soils

Jayalekshmi, S.; Elamathi, V

doi:10.1088/1757-899x/1006/1/012007

Cited by 4 publications

(3 citation statements)

References 25 publications

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“…The correlation results of the compression index (Cc) for this study are between 0.227 and 0.33. Coefficient of compressibility (Cc) values are found to be relatively almost similar to those obtained for undisturbed soil samples by Jayalekshmi and Elamathi (2020) and according to Alptekin and Taga (2019), the soils are soft clay that is highly compressible when comparison with the current study. Hence, many researchers have used these approaches to determine the value of Cc from basic soil properties (Yoon, Kim, and Jeon 2004;Dwivedi, Kumar, and Jain 2016;Onyejekwe, Kang, and Ge 2015).…”

supporting

confidence: 82%

Numerical Modeling for Prediction of Compression Index from Soil Index Properties in Jimma town, Ethiopia

Kabeta¹,

Fufa²,

Feyisa³

2022

UPjeng

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In this study, correlations are developed to predict compression index (Cc) from index parameters so that one can be able to model Jimma soils with compression index using simple laboratory tests. Undisturbed and disturbed soil samples from twelve different locations in Jimma town were collected. Laboratory tests like specific gravity, grain size analysis, Atterberg limit, and one-dimensional consolidation test for a total of twenty-four test samples were conducted. From one-dimensional consolidation tests, compressibility soil parameters (Cc and Cs) are determined. From the results of limited tests, an indicative good correlation is observed between Cc and LL, PL, and PI. However, a Poor correlation is developed between Cc and PL when related to the other parameters. The developed correlations will be important inputs in modeling Jimma clay soils with regression model and Artificial neural networks (ANN) analysis using simple index tests. In addition, the results of this study can serve as a basis for further study of such correlations on different clay soils in the country. In this study, regression analysis was used to explore the significance of individual independent (index) soil properties. Regression model and correlation of compression index for liquid limit, plastic limit, and plasticity index were obtained from the linear regression analysis and ANN. This correlation will be helpful for geotechnical engineers in developing the coefficient of compression (Cc) value of expansive/clay soil from index properties. Finally, based on the general findings of the study, suitable recommendations have been forwarded.

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supporting

confidence: 82%

Numerical Modeling for Prediction of Compression Index from Soil Index Properties in Jimma town, Ethiopia

Kabeta¹,

Fufa²,

Feyisa³

2022

UPjeng

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“…This is responsible for expansive characteristics of the soil. [1][2][3][4][5][6][7][8][9][10][11] For our study, we have taken highly compressible clayey soil (CH) from a depth of 2 meters at Sathyamangalam, Tamilnadu INDIA and during the sampling, it is observed as wet climate. Location co-ordinate: Latitude-11.507556173098013, Longitude-77.23939029327049…”

Section: Methodsmentioning

confidence: 99%

Experimental Analysis on Swelling, Shrinkage and Consolidation behavior of Expansive Soils under wetting – drying cycles

Jeevanantham,

Jayashree,

Yamini Roja

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Expansive soil get compressed under the applied external loading and by its self-weight, during this loading pore water goes out of the soil mass, called as consolidation and during the increase in temperature of the soil mass, water evaporates and leaves the soil mass, called as shrinkage. In both the cases, volume change occurs in cohesive soil mass. In this study, an attempt is made to criticize the consolidation and shrinkage phenomena to find the settlement of soils. An expansive cohesive soil sample has been taken and tested for basic properties and also tested for shrinkage, swelling and consolidation. Results shows that settlement caused by shrinkage is greater than consolidation, for the given thickness of clay strata and the type of mineral and proportion.

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“…The rearrangement of soil grains causes soil particles to wreck, roll, and slide, and water to be extracted or compressed from voids. Consequently, it is essential to predict the behaviour of time-dependent soil compressibility and the main factors behind it (Adeyer 2015;Adeyeri 2018;Jayalekshmi, Elamathi 2020).…”

Section: Key Concept Of Deformation Modulusmentioning

confidence: 99%

Factors affecting the oedometric modulus of till soil

Lekstutytė,

Urbaitis,

Žaržojus

et al. 2023

Baltica

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Soil deformation moduli are affected by a number of factors including the intensity of applied load in drained or undrained conditions, stress-strain characteristics, confining pressure, stress history, and soil type. Determination of the deformation properties of glacial soils requires long-term research. As evidenced by a review of previous studies, Lithuanian glacial soils are still insufficiently explored. Our study focuses on the deformation properties of till soil, specifically, on the properties that have a significant impact on soil settlement or compressibility, and its calculations. The current study presents the oedometer deformation modulus determined and predicted under stress at 0.2 and 0.4 MPa levels, which are most often used in geotechnical design. These index values allowed identifying the major factors responsible for the variation in deformation behaviour of different groups of till soils. The most significant finding of this study was the absence of a direct correlation between the oedometer modulus (Eoed) and cone resistance (qc). Instead, based on the content of natural soil water (w), proportion of fine fraction (clay), and cone resistance (qc), we found that the most reliable correlation exists between the determined (EDoed) and estimated (EEoed) oedometer moduli. It is important to note that regression models are applicable and reliable only within specific ranges of these factors. The valid limits for these models are: water content in the range of 7.7%–15.4%, clay fraction in the range of 4.0%–20.0%, and cone resistance in the range of 1 MPa–5 MPa.

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A Review on Correlations for Consolidation Characteristics of Various Soils

Cited by 4 publications

References 25 publications

Numerical Modeling for Prediction of Compression Index from Soil Index Properties in Jimma town, Ethiopia

Numerical Modeling for Prediction of Compression Index from Soil Index Properties in Jimma town, Ethiopia

Experimental Analysis on Swelling, Shrinkage and Consolidation behavior of Expansive Soils under wetting – drying cycles

Factors affecting the oedometric modulus of till soil

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