A generalized procedure for predicting optimal lower bound break-out factors of strip anchors

Basudhar, P. K.; Singh, D. N.

doi:10.1680/geot.1994.44.2.307

Cited by 57 publications

(18 citation statements)

References 12 publications

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“…Upper and lower bound limit analysis techniques have been used used by Geddes (1987,1989), Basudhar and Singh (1994) and Smith (1998) to estimate the capacity of horizontal and vertical strip anchors. Basudhar and Singh (1994) obtained estimates using a generalized lower bound procedure based on finite elements and non-linear programming similar to that of Sloan (1988).…”

Section: Previous Studiesmentioning

confidence: 99%

“…Basudhar and Singh (1994) obtained estimates using a generalized lower bound procedure based on finite elements and non-linear programming similar to that of Sloan (1988). The solutions of Geddes (1987,1989) were obtained by manually constructing kinematically admissible failure mechanisms (upper bound), while Smith (1998) presented a novel rigorous limiting stress field (lower bound) solution for the trapdoor problem.…”

Section: Previous Studiesmentioning

confidence: 99%

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Three-dimensional lower-bound solutions for the stability of plate anchors in sand

2006

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Purpose The Faculty of Engineering and Surveying Technical Reports serve as a mechanism for disseminating results from certain of its research and development activities. The scope of reports in this series AbstractSoil anchors are commonly used as foundation systems for structures that require uplift or lateral resistance. These types of structures include transmission towers, sheet pile walls and buried pipelines. Although anchors are typically complex in shape (e.g. drag or helical anchors), many previous analyses idealise the anchor as a continuous strip under plane strain conditions. This assumption provides numerical advantages and the problem can solved in two dimensions. In contrast to recent numerical studies, this paper applies three dimensional numerical limit analysis and axi-symetrical displacement finite element analysis to evaluate the effect of anchor shape on the pullout capacity of horizontal anchors in sand. The anchor is idealised as either square or circular in shape. Results are presented in the familiar form of breakout factors based on various anchor shapes and embedment depths, and are also compared with existing numerical and empirical solutions.

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Section: Previous Studiesmentioning

confidence: 99%

Section: Previous Studiesmentioning

confidence: 99%

Three-dimensional lower-bound solutions for the stability of plate anchors in sand

2006

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“…Upper and lower bound limit analyses are also reported by Geddes (1987, 1989), Basudhar and Singh (1994) and Smith (1998) to estimate the capacity of vertical strip anchor plates. Basudhar and Singh (1994) Sloan (1988a).…”

Section: Previous Theoretical Investigationsmentioning

confidence: 99%

“…Basudhar and Singh (1994) Sloan (1988a). The solutions proposed by Geddes (1987, 1989) are based on kinematically admissible failure mechanisms (upper bound).…”

Section: Previous Theoretical Investigationsmentioning

confidence: 99%

Pullout Capacity of a Vertical Plate Anchor Embedded in Cohesion-less Soil

Kame¹,

Dewaikar

Choudhury

2012

ESR

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In this paper, the ultimate pullout capacity of a shallow laid vertical plate strip anchor in cohesion-less soil is analyzed with the consideration of active and passive states of limit equilibrium in the soil. Kötter's equation is used to compute the active and passive thrusts, which are subsequently used in the analysis in which, all the equation of equilibrium are properly interpreted. The unique failure surfaces under active and passive states of limit equilibrium are identified on the basis of force equilibrium conditions. One distinguishing feature of the proposed method is its ability to compute the point of application of active/passive thrust using moment equilibrium. Another distinguishing feature is the prediction of distribution of soil reactions on the failure surface. Comparison of the results of the proposed method with the available experimental results vis-a-vis other theoretical methods shows that, up-to embedment ratio of 3.0, the proposed method is capable of making reasonably good predictions.

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“…Because of the small capacities and the temporary nature of their functions, engineers rarely put efforts into collecting engineering properties of soils for the design of small ground anchors. These constraints lead to design uncertainty even though various methods are available for determining the pullout capacity of ground anchors (Meyerhof and Adams, 1968;Vesic, 1971;Meyerhof, 1973;Das and Seeley, 1975;Das, 1978;1980;1987;Rowe and Davis, 1982a;1982b;Vermeer and Sutjiadi, 1985;Murray and Geddes, 1987;Dickin, 1988;Sutherland, 1988;Koutsabeloulis and Griffiths, 1989;Rao and Kumar, 1994;Basudhar and Singh, 1994). Shahin and Jaksa (2003) initiated a different approach and paved the way for a rational design of small anchors at a nominal cost.…”

Section: Introductionmentioning

confidence: 99%

Pullout capacity of small ground anchor: a least square support vector machine approach

Samui

Kim

Aiyer

2015

J. Zhejiang Univ. Sci. A

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This study employs the least square support vector machine (LSSVM) for the prediction of pullout capacity of small ground anchor. LSSVM is firmly based on the theory of statistical learning and uses regression technique. In LSSVM, Vapnik and Lerner (1963)'s ε-insensitive loss function was replaced by a cost function which corresponded to a form of ridge regression. The input parameters of LSSVM were equivalent anchor diameter, anchor embedment depth, average cone tip resistance, average cone sleeve friction, and installation technique. Using 83 out the available 119 in-situ test datasets, an LSSVM regression model was developed. The goodness of the model was tested using the remaining 36 data points. The developed LSSVM also gave an error bar of predicted data. A sensitivity analysis was conducted to determine the effect of each input parameter. The results were compared with the artificial neural network (ANN) model. Overall, LSSVM was shown to perform well.

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A generalized procedure for predicting optimal lower bound break-out factors of strip anchors

Cited by 57 publications

References 12 publications

Three-dimensional lower-bound solutions for the stability of plate anchors in sand

Three-dimensional lower-bound solutions for the stability of plate anchors in sand

Pullout Capacity of a Vertical Plate Anchor Embedded in Cohesion-less Soil

Pullout capacity of small ground anchor: a least square support vector machine approach

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