This study examines the potential of soft computing technique—namely, Gaussian process regression (GPR), to predict ultimate bearing capacity (UBC) cohesionless soils beneath shallow foundations. The inputs model are width footing (B), depth (D), geometry (L/B), unit weight sand (γ), and internal friction angle (ϕ). results present were compared with those obtained by two theoretical approaches...

In this paper, an experimental and numerical study was adopted to investigate the effect geogrid soil reinforcement prestressing on the pressure settlement relation of sand bed supporting a strip foundation. The studied parameters include foundation depth and pre-stress ratio for the cases of one and two pre-stressed reinforcement layers. The study reflected that pre-stressing of soil reinforce...

Abstract—Numerical study of the static response of homogeneous clay stratum considering a wide range of cohesion and subject to foundation loads is presented. The linear elastic–perfectly plastic constitutive relation with the von Mises yield criterion were utilised to develop a numerically cost effective finite element model for the soil while imposing a rigid body constrain to the foundation ...

This research evaluated four SPT-based design equations used to estimate the carrying capacity of shallow footing. Using different methods, two plate load tests performed on silty clay and soil in Nasiriyah have been obtain ultimate load-carrying capacity. Further, this study aims utilize finite element method based Plaxis 3D foundation software simulate behavior settlement with actual dimensio...

although bearing capacity of footings on top of slopes under monotonic loadings have been investigated widely so far, safety and bearing capacity of these structures against repeated dynamic loads have not been considered well enough. in this paper, lower bound dynamic shakedown theorem in its numerical form has been employed to firstly obtain bearing capacity of strip footings on top of slopes...

This paper describes an MPM formulation using linear quadrilateral elements suitable for soil-structure-interaction problems. The volumetric locking and stress-oscillations are mitigated a reduced integration technique the Gauss scheme, respectively. can be used with both structured unstructured computational meshes. In addition, improved calculation scheme is proposed to obtain accurate contac...

In this study, the Multivariate Adaptive Regression Splines (MARS) model is employed to create a data-driven prediction for bearing capacity of strip footing on rock mass subjected an inclined and eccentric load. The strengths masses are based Hoek-Brown failure criterion. To develop set training data in MARS, lower upper bound finite element limit analysis (FELA) carried out obtain numerical r...