This paper is motivated by the Time Capsule Project (TCP) of the International Society for
Soil Mechanics and Geotechnical Engineering (ISSMGE). The historical developments of …

Rainfall-induced soil slope failures are among the most frequent and widespread landslides
in the world. The infiltration of water plays a critical role in the instability of slopes under …

This study adopts the Bayesian neural network (BNN) integrated with a strong non-linear
fitting capability and uncertainty, which has not previously been used in geotechnical …

The probability distributions of soil parameters can be updated with limited site-specific
information via probabilistic back analyses. The updated probability distributions can be …

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 …

In-situ and/or laboratory test data, monitoring data and other site-specific information are a
common basis for assessing geotechnical performance. This information enables one to …

Due to the inherent spatial variability of the geological bodies, limited boreholes
(constrained by budget), and data interpretation errors, the subsurface conditions (in terms …

A Bayesian framework using field observations for back-analysis and updating of soil
parameters in a multistage braced excavation is presented. Because of the uncertainties …

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 …

Geologic profiles cannot be identified with certainty due to inherent spatial variability and
limited site-investigation data. Random field theory is a powerful tool for evaluating the …