Swell pressure prediction by suction methods

Erzin, Yusuf; Erol, Orhan

doi:10.1016/j.enggeo.2007.04.002

Cited by 60 publications

(24 citation statements)

References 26 publications

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“…When solely evaluating the two new models based on the model fit measure (adjusted R 2 ), M2 resulted in the best fit. When ranking the models by the absolute error accrued by each model, M1, Sabtan (2005), and Erzin and Erol (2007) resulted in steady predictions of swelling pressure across fluctuating initial dry unit weight and initial water content values. M1 is the most simple and user friendly of the new models because it is a linear model and is easier to calibrate and estimate the independent variables in the laboratory.…”

Section: Resultsmentioning

confidence: 96%

“…Erzin and Erol (2007) claim that the suction methods are more user friendly than the traditional methods because there are no restrictions on the sample geometry and it is less time consuming. In 2007, Erzin and Erol preformed an extensive study relating soil suction to index properties and placement conditions.…”

Section: Literature Reviewmentioning

confidence: 98%

“…The samples in this study were from Ç okça's (2002) study. The model Erzin and Erol (2007) developed is a function of plasticity index (%), initial dry weight (g cm 23 ), and initial soil suction (s, bar).…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Statistical regression models for predicting the swelling pressure of compacted expansive soils

James

Unnikrishnan

Sharma

2013

International Journal of Geotechnical Engineering

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This study used 10 different soil samples to calibrate and validate two new linear regression models (M1 and M2) that use initial placement conditions and index properties to predict swelling pressure. These models were created through numerous t-tests that eliminated statistically insignificant independent variables from the final models. The absolute error of each model was calculated between the predicted swelling pressure and the actual swelling pressure values. The absolute errors of these models were then compared with the absolute errors of the models discussed in the literature that use congruent independent variables for predicting the swelling pressure. When strictly comparing the model fit measure (adjusted R 2 ), M2 resulted in the best fit. However, when comparing the absolute prediction error of each model, M1 appeared the most accurate of the 14 models considered. In addition, M1 is the most user friendly of the new models because it is a linear model with easily estimable independent variables for an accurate, consistent estimation of swelling pressure.

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Section: Resultsmentioning

confidence: 96%

Section: Literature Reviewmentioning

confidence: 98%

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Statistical regression models for predicting the swelling pressure of compacted expansive soils

James

Unnikrishnan

Sharma

2013

International Journal of Geotechnical Engineering

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“…(2) and (5) According to Eqs. (3) and (6), the linear expansion parameters can be uniformly expressed as (9) Thus the expansion ratio of expansive soil caused by inadequate wetting can be calculated according to (10) where σ is the load or averaged primary stress (kPa).…”

Section: Establishment Of Uniform Expansion Modelmentioning

confidence: 99%

Expansion Model Test of Expansive Soil in Different Stress State

Huang

Cheng

Zhang

et al. 2015

Soil Mech Found Eng

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“…Experienced practicing engineers if supplied with accurate laboratory measurements and information can end up with an appropriate decission on the swelling pressure value to be used in the design. Erzin and Erol [7] claimed that there is a direct relationship between the swell pressure and the suction measured using thermocouple psychrometer technique for statically compacted specimens. Soils stablized with cement or lime can still have high suction while the swelling behaviour is controlled.…”

Section: Reddish Silty Claymentioning

confidence: 99%

Swelling Characteristics of Saudi Tayma Shale and Consequential Impact on Light Structures

Dafalla¹,

Al‐Shamrani²

2014

JCEA

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Expansive soils in Saudi Arabia have received wide attention in recent decades, following the rapid urbanization of rural and agricultural parts of the country. Tayma expansive shale inflicted serious damages to light structures, roads and boundary walls. This research is aimed at studying the engineering characteristics of the shale at this area including the basic geotechnical parameters as well as swelling behavior under oedometric loading conditions. The engineering properties were determined and compared to the local and international characterization charts. Mineralogy study using x-ray diffraction was conducted to investigate clay minerals present. The swell percent and the swelling pressure of the shale were investigated for samples prepared at different initial moisture contents and various dry densities. A close-up view of damages caused by the expansive shale in the town is highlighted and measures to reduce the risk of potential swelling distress for future constructions are presented.

show abstract

Swell pressure prediction by suction methods

Cited by 60 publications

References 26 publications

Statistical regression models for predicting the swelling pressure of compacted expansive soils

Statistical regression models for predicting the swelling pressure of compacted expansive soils

Expansion Model Test of Expansive Soil in Different Stress State

Swelling Characteristics of Saudi Tayma Shale and Consequential Impact on Light Structures

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