New explicit formulation for ultimate bearing capacity of shallow foundations on granular soil using M5’ model tree

Rouhollah Khorrami | Ali Derakhshani | Hossein Moayedi

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=137593
Date :  2020/06/06
Publish in :    Measurement: Journal of the International Measurement Confederation
DOI :  https://doi.org/https://doi.org/10.1016/j.measurement.2020.108032
Link :  http://dx.doi.org/https://doi.org/10.1016/j.measurement.2020.108032
Keywords :,Bearing capacity ,Shallow foundation ,Computational intelligence Probabilistic design

Abstract :

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Proper estimation of the ultimate bearing capacity of the shallow foundations is of vital significance as a necessary part of foundation design for different structures. This study aims at developing explicit and high-precision expressions for predicting the ultimate limit states of shallow foundations under vertical loading over a practical range of predictors including foundation width (B), foundation length (L), embedment depth (D), internal friction angle (u) and specific gravity (c). A more comprehensive database of the ultimate bearing capacity test results, in contrast to previous studies, were considered for modeling using the M5’ Model Tree algorithm. Predictions are compared with measurements, conventional bearing capacity theories and available soft computing approaches. Moreover, it is shown that the new model has lower uncertainty compared with other models. It is concluded that the ultimate bearing capacity of a shallow footing can be derived from power-law functions framework and also non-dimensional equations in practice.