Lateral Pressures on Rigid Retaining Walls: A Neural Network Approach

Abstract

An artificial neural network solution (in closed form expression) is established for the total lateral thrust and its point of application on rigid retaining walls due to finite surface strip loads. The model accounts for soil nonlinearity and dilatancy. Data necessary for the model is produced through finite element analyses. The solution relates the total lateral thrust and its point of application to six parameters, including the strength parameters of the soil, wall height and the position as well as the extent of the surface load. The effects of each input parameter on the response are summarized and the results are compared with the linear elastic solution.

 Key Words: Lateral Earth Pressure, Strip Load, Artificial Neural Networks, Hardening Soil Model.

 

Keywords

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