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 is one of the major sources of uncertainty in geotechnical applications.
This variability is characterized customarily by the scale of fluctuation. Scale of fluctuation …

Soils and rocks in their natural state are among the most variable of all engineering
materials, and geotechnical engineers must often “make do” with materials that present …

Describing how soil properties vary spatially is of particular importance in stochastic
analyses of geotechnical problems, because spatial variability has a significant influence on …

Several probability-based design codes (eg, load and resistance factor design (LRFD)
codes and Eurocode 7) have been developed and implemented around the world recently …

The heterogeneity of natural soils is well known in geotechnical practice. However, the
importance of quantifying the resulting variability in geotechnical characterisation and …

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) …

A method of combining 3D Kriging for geotechnical sampling schemes with an existing
random field generator is presented and validated. Conditional random fields of soil …

With the ever-growing computational power of personal computers over the past few
decades, stochastic simulation of spatially varying three-dimensional (3D) quantities has …

Random field theory has been increasingly used in probabilistic geotechnical analyses over
the past few decades, where a random field generator with random field parameters is …