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A Prediction Model for the Deformation of an Embedded Cantilever Retaining Wall in Sand
This paper proposes a prediction model based on the mobilizable strength design method with an equilibrium model to predict the deflection of an embedded cantilever retaining wall in sand. The variation in the location of the pivot point within the retaining wall and the sand dilation are considered. Based on the stress–strain relationships obtained by triaxial tests, the designer can determine a specific shear strain and corresponding mobilized earth pressure for the retaining wall to achieve a global equilibrium. Then, the wall deflection, including rotation and flexure, can be derived. The locations of the pivot points obtained by this method are compared with the results predicted by the minimization approach. Finally, the prediction precision is validated via centrifuge tests and numerical model data published in prior investigations.
A Prediction Model for the Deformation of an Embedded Cantilever Retaining Wall in Sand
This paper proposes a prediction model based on the mobilizable strength design method with an equilibrium model to predict the deflection of an embedded cantilever retaining wall in sand. The variation in the location of the pivot point within the retaining wall and the sand dilation are considered. Based on the stress–strain relationships obtained by triaxial tests, the designer can determine a specific shear strain and corresponding mobilized earth pressure for the retaining wall to achieve a global equilibrium. Then, the wall deflection, including rotation and flexure, can be derived. The locations of the pivot points obtained by this method are compared with the results predicted by the minimization approach. Finally, the prediction precision is validated via centrifuge tests and numerical model data published in prior investigations.
A Prediction Model for the Deformation of an Embedded Cantilever Retaining Wall in Sand
Int. J. Geomech.
Zheng, Gang (Autor:in) / He, Xiaopei (Autor:in) / Zhou, Haizuo (Autor:in)
01.03.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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