Abstract

Footings placed on or near a slope, the slope face act as a finite boundary that leads to an inappropriate and inadequate development of the plastic region of failure as the foundation approaches the limit state under the applied loading. Depending upon the position of the footing and steepness of the slope, the above-mentioned phenomena might lead to considerable decrease in the bearing capacity of the foundation. A sequence of finite element analysis has been carried out using Plaxis 2D v2015.02 to inspect the ultimate bearing capacity of strip footings placed at the crest of the c–φ soil slope. The effect of various geo-parameters namely internal angle of friction (φ), cohesion (c), setback distance (b), width of footing (B), slope angle (β) and embedment depth of footing (Df) on the ultimate bearing capacity of the footing have been investigated and the outputs obtained are appropriately elucidated. In addition, large database of numerically simulated ultimate bearing capacity has been considered to develop and verify the ANN model to establish the relative importance of the input parameters.

Highlights

  • The ultimate bearing capacity (UBC) of foundation is defined as the maximum stress that it can carry without undergoing a shear failure

  • Based on 2-D finite element (FE) analysis considering Plaxis 2D, this article reports the effect of various geo-parameters on the normalised UBC [qu/γHs where, qu = ultimate bearing capacity, γ = unit weight of soil and Hs = height of slope] of a strip footing resting on crest of c–φ soil-slopes

  • An artificial neural network (ANN) model has been made for the prediction of normalised ultimate bearing capacity of strip footing resting on crest of c–φ soil-slope from the outcomes of the parametric investigation

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Summary

Introduction

The ultimate bearing capacity (UBC) of foundation is defined as the maximum stress that it can carry without undergoing a shear failure.

Results
Conclusion
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