A neural network model for estimation of failure stresses and strains in cohesive soils

HIGHLIGHTS

  • who: Ambrosios-Antonios Savvides and Leonidas Papadopoulos from the School of Civil Engineering Iroon Polytechniou , Zografou Campus, National Technical University of Athens, Athens, Greece have published the research work: A Neural Network Model for Estimation of Failure Stresses and Strains in Cohesive Soils, in the Journal: Geotechnics 2022, of /2022/
  • what: In this Article a set of neural networks for the prediction of the stresses and the corresponding strains at failure of cohesive soils when subjected to a load of a shallow foundation are presented.
  • how: The finite element discretization of the u . . .

     

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