Prediction of bearing capacity of circular footings on soft clay stabilized with granular soil

Örnek, Murat; Laman, Mustafa; Demir, Ahmet; Yildiz, Abdulazim

doi:10.1016/j.sandf.2012.01.002

Cited by 81 publications

(36 citation statements)

References 33 publications

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“…These studies are generally meant for reinforced strip foundations. In the recent past, a few experimental and analytical studies have also been undertaken to examine the behavior of circular footings placed on reinforced soil media (Boushehrian and Hataf, 2003;Basudhar et al, 2007;Sireesh et al, 2009;Lovisa et al, 2010;Chakraborty and Kumar, 2012;Lavasan and Ghazavi, 2012;Ornek et al, 2012;Demir et al, 2013). Boushehrian and Hataf (2003) have performed a series of laboratory tests, along with a numerical analysis, to examine the effect of the depth of the first layer of the reinforcement, vertical spacing and number of reinforcement layers on the bearing capacity of foundations.…”

Section: Introductionmentioning

confidence: 99%

Bearing capacity of circular foundations reinforced with geogrid sheets

Chakraborty

Kumar

2014

Soils and Foundations

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The ultimate bearing capacity of a circular footing, placed over a soil mass which is reinforced with horizontal layers of circular reinforcement sheets, has been determined by using the upper bound theorem of the limit analysis in conjunction with finite elements and linear optimization. For performing the analysis, three different soil media have been separately considered, namely, (i) fully granular, (ii) cohesive frictional, and (iii) fully cohesive with an additional provision to account for an increase of cohesion with depth. The reinforcement sheets are assumed to be structurally strong to resist axial tension but without having any resistance to bending; such an approximation usually holds good for geogrid sheets. The shear failure between the reinforcement sheet and adjoining soil mass has been considered. The increase in the magnitudes of the bearing capacity factors (N c and N γ ) with an inclusion of the reinforcement has been computed in terms of the efficiency factors η c and η γ . The results have been obtained (i) for different values of ϕ in case of fully granular (c ¼ 0) and c Àϕ soils, and (ii) for different rates (m) at which the cohesion increases with depth for a purely cohesive soil (ϕ ¼ 0 ○ ). The critical positions and corresponding optimum diameter of the reinforcement sheets, for achieving the maximum bearing capacity, have also been established. The increase in the bearing capacity with an employment of the reinforcement increases continuously with an increase in ϕ. The improvement in the bearing capacity becomes quite extensive for two layers of the reinforcements as compared to the single layer of the reinforcement. The results obtained from the study are found to compare well with the available theoretical and experimental data reported in literature.

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Section: Introductionmentioning

confidence: 99%

Bearing capacity of circular foundations reinforced with geogrid sheets

Chakraborty

Kumar

2014

Soils and Foundations

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“…Also, from a comparison of the curves for different H/D values, it can be seen that the load-settlement behavior became stiffer as the H/D ratio increased, due to partially replacing the natural clay soil with a layer of compacted stiffer granular fill, for both D = 0.06 m and 0.90 m footing diameters. In these series, the bearing capacity is a function of H/D (Ornek at al [12]). Failure loads are more significant for footings with smaller diameters however, this behavior is not observed clearly for larger diameter.…”

Section: Test Variablesmentioning

confidence: 99%

“…[9], Mosadegh A. & Nikraz H. [10], Ziaie Moayed, R. et al [11], Ornek et al [12], and Calik and Sadoglu [13]. Ochiai et al [4] investigated the theory and the applications of reinforced fill over soft ground in Japan.…”

Section: Introductionmentioning

confidence: 99%

A Modern Approach to Estimate the Bearing Capacity of Layered Soil

Misir

Laman

2016

Period. Polytech. Civil Eng.

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“…A number of researchers (e.g. Teh et al, 1997;Abu-Kiefa, 1998;Das and Basudhar, 2006;Ardalan et al, 2009;Shahin, 2010;Ornek et al, 2012;Tarawneh, 2013) have successfully applied artificial neural network (ANN), which is a form of artificial intelligence, to solving engineering problems. Genetic programming (GP), which is another form of artificial intelligence, has been used successfully in solving engineering problems (Rezania and Javadi, 2007;Alavi et al, 2011;Alkroosh and Nikraz, 2011a, b;Gandomi, 2011;Gandomi and Alavi, 2012).…”

Section: Introductionmentioning

confidence: 99%

Regressive approach for predicting bearing capacity of bored piles from cone penetration test data

Alkroosh

Bahadori

Nikraz

et al. 2015

Journal of Rock Mechanics and Geotechnical Engineering

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In this study, the least square support vector machine (LSSVM) algorithm was applied to predicting the bearing capacity of bored piles embedded in sand and mixed soils. Pile geometry and cone penetration test (CPT) results were used as input variables for prediction of pile bearing capacity. The data used were collected from the existing literature and consisted of 50 case records. The application of LSSVM was carried out by dividing the data into three sets: a training set for learning the problem and obtaining a relationship between input variables and pile bearing capacity, and testing and validation sets for evaluation of the predictive and generalization ability of the obtained relationship. The predictions of pile bearing capacity by LSSVM were evaluated by comparing with experimental data and with those by traditional CPT-based methods and the gene expression programming (GEP) model. It was found that the LSSVM performs well with coefficient of determination, mean, and standard deviation equivalent to 0.99, 1.03, and 0.08, respectively, for the testing set, and 1, 1.04, and 0.11, respectively, for the validation set. The low values of the calculated mean squared error and mean absolute error indicated that the LSSVM was accurate in predicting the pile bearing capacity. The results of comparison also showed that the proposed algorithm predicted the pile bearing capacity more accurately than the traditional methods including the GEP model.

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Prediction of bearing capacity of circular footings on soft clay stabilized with granular soil

Cited by 81 publications

References 33 publications

Bearing capacity of circular foundations reinforced with geogrid sheets

Bearing capacity of circular foundations reinforced with geogrid sheets

A Modern Approach to Estimate the Bearing Capacity of Layered Soil

Regressive approach for predicting bearing capacity of bored piles from cone penetration test data

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