Geotechnical engineering deals with the safe transmittal of loads due to various engineering applications to, and into, the soil or rock mass. The soil and rock mass formations are heterogeneous and generally are subjected to stresses (due to various engineering applications) which are additional to those presently existing in the earth mass from its self weight and geological history. Due to t...

Artificial neural networks (ANNs) are a form of artificial intelligence that has proved to provide a high level of competency in solving many complex engineering problems that are beyond the computational capability of classical mathematics and traditional procedures. In particular, ANNs have been applied successfully to almost all aspects of geotechnical engineering problems. Despite the incre...

A comprehensive suite of geotechnical laboratory tests was undertaken on samples of recycled crushed glass produced in Victoria, Australia. Three types of recycled glass sources were tested being coarse, medium and fine sized glass. Laboratory testing results indicated that medium and fine sized recycled glass sources exhibit geotechnical behavior similar to natural aggregates. Coarse recycled ...

In order to mitigate hazards of mass failure, the first step is the identification of potentially unstable slopes, resulting in a landslide susceptibility map. Satellite imagery is an important component in the derivation of critical parameters. Susceptibility maps can be constructed in a variety of ways, including multivariate statistics, heuristic models, and geotechnical models. Each method ...

Modern large scaled buildings are erected on rather complex foundations. The design and analysis of these geotechnical systems requires a high quality of computer modelling and simulation. Therefore, it is necessary to model all geotechnical structural elements in a realistic and practice-oriented way. Due to the complexity of geotechnical structures object-oriented models are most appropriate....

In this research, a new method is proposed to update system reliability based on data recorded by instruments and sensors installed on geotechnical systems to reduce uncertainties. The method is founded on Bayesian analysis and Monte Carlo simulation and is capable of estimating the functional relationship between the updated failure probability and the monitoring value. It is shown that as lon...

Artificial neural networks (ANNs) are a form of artificial intelligence and, since the mid-1990s, ANNbased models have been successfully applied to virtually every problem in geotechnical engineering. This paper briefly examines the areas of geotechnical engineering to which ANNs have been applied, provides a brief overview of the operation of ANN models, and highlights and discusses four impor...

The objective of this paper is to investigate the effect of copulas for constructing the bivariate distribution of shear strength parameters on system reliability of geotechnical structures. First, the bivariate distribution of shear strength parameters is constructed using copulas. Second, the implementation procedure of system reliability analysis using direct Monte Carlo simulation (MCS) is ...

NOTICE The contents of this report reflect the views of the author, who is responsible for the facts and accuracy of the data presented herein. The contents do not necessarily reflect policy of the Department of Transportation. This report does not constitute a standard, specification, or regulation. Abstract This report summarizes the historical development of the resistance factors developed ...