Ehsan Momeni1, Biao He2, Yasin Abdi3,*, Danial Jahed Armaghani4
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2527-2550, 2023, DOI:10.32604/cmes.2023.026531
Abstract When building geotechnical constructions like retaining walls and dams is of interest, one of the most important
factors to consider is the soil’s shear strength parameters. This study makes an effort to propose a novel predictive
model of shear strength. The study implements an extreme gradient boosting (XGBoost) technique coupled with
a powerful optimization algorithm, the salp swarm algorithm (SSA), to predict the shear strength of various soils.
To do this, a database consisting of 152 sets of data is prepared where the shear strength (τ) of the soil is considered
as the model output and some soil index tests… More >
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