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 integration of Building Information Modeling (BIM) and Geographic Information System
(GIS) has been identified as a promising but challenging topic to transform information …

This study investigates the coupled effect of the soil spatial variations and the disturbance of
ground surface on the existing tunnel using random finite difference method (RFDM). The …

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 …

Artificial ground freezing (AGF) has been extensively applied in underground engineering
construction as a popular ground-support technique. In recent decades, a series of …

Monte Carlo simulation (MCS) provides a conceptually simple and robust method to
evaluate the system reliability of slope stability, particularly in spatially variable soils …

The following sections are included: Types of Random Fields Basic Probabilistic Description
Expectation and Conditional Expectation Characteristic Functions Gaussian and Related …

Many students, engineers, scientists and researchers have benefited from the practical,
programming-oriented style of the previous editions of Programming the Finite Element …

This paper reviews previous studies on developments and applications of response surface
methods (RSMs) in different slope reliability problems. Based on the review, four types of …