This research focuses on the application of three soft computing techniques including
Minimax Probability Machine Regression (MPMR), Particle Swarm Optimization based …

Field observed performance of slopes can be used to back calculate input parameters of soil
properties and evaluate uncertainty of a slope stability analysis model. In this paper, a new …

Rainfall-induced landslides pose a significant threat to the public safety in many parts of the
world especially in tropical or subtropical mountainous areas. The research field of …

Soil is a heterogeneous medium, the characteristics that determine soil slope stability are
highly variable, making the analysis a difficult task. The present research approach is …

The 2D random finite element method and the one-dimensional and 2D random limit
equilibrium method are used to investigate the influence of spatial variability of soil strength …

Uncertainty and variability are inherent to pile design and consequently, there have been
considerable researches in quantifying the reliability or probability of failure of structures …

Probabilistic slope stability analyses of simple geosynthetic reinforced soil slopes were
carried out using the shear strength reduction method in combination with the finite element …

An important issue in the probabilistic prediction modelling of multivariate soil properties
(usually including cohesion, friction angle, and unit weight) is the measurement of …

This paper focuses on the calculation of probability of failure of simple unreinforced slopes
and the influence of the magnitude of cross correlation between soil parameters on …

The pressure-settlement response and failure mechanism behavior of two interacting rigid
rough identical footings resting on geocell-reinforced sand is investigated using finite …