Modeling only constitutes one aspect of decision making. The prevailing limitation of
applying modeling to practice is the absence of explicit consideration of uncertainties. This …

Spatial variability of soil properties was rarely taken into account directly in traditional slope
stability analyses, rather some “average” or suitably “pessimistic” properties are assumed to …

The inherent spatial variability of soil properties is the main sauces of uncertainties in the
site investigation, and it is commonly characterized using random field theory. In the context …

A method is proposed for simultaneously estimating the trend and random component of soil
properties at arbitrary locations using Gaussian process regression with the superposition of …

The story of statistics in geotechnical engineering can be traced to Lumb's classical
Canadian Geotechnical Journal paper on “The Variability of Natural Soils” published in …

The purpose of this paper is to address the “what,”“why,” and “how” questions posed by
engineers who are not familiar with geotechnical reliability and have not kept abreast of …

The random finite difference method (RFDM) is a popular approach to quantitatively
evaluate the influence of inherent spatial variability of soil on the deformation of embedded …

Variance reduction function for a spatially variable soil property is an important factor that
affects the spatial average-based characteristic value, which in turn influences the design of …

Decision making in geotechnical engineering is always related to a project carried out at a
specific site. It is natural for data-driven site characterization (DDSC) to attract the most …

This paper compiles a cone penetration test (CPT) database, named Global-CPT/3/1196. It
contains three CPT parameters (cone tip resistance, sleeve friction, and porewater pressure) …