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 urbanization process inside the State of São Paulo (Brazil) facilitated, in approximately five decades, the migration of thousands of peasants to the urban areas of great industrial centers inducing and requesting, at the same time and very often, an amplification of the systems of local urban infrastructure not appropriate for the natural potential of the physical territory. In this conten...

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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 ...

In this paper are treated briefly the geotechnical analysis of hills slopes areas in the heritage town of Berati, Albania. From engineering geological mapping on scale 1:10 000 and geotechnical investigations carried out in urban area of Berati town was found that two zones are threated from landslides phenomenon. The first one is located in center part, whereas the second in northeast part of ...

Given the increasing occurrence of landslides worldwide, improvement predictive models for landslide mapping is needed. Despite influence geotechnical parameters on SHALSTAB model outputs, there a lack research models’ performance when considering different variables. In particular, role units (i.e., areas with common soil and lithology) understudied. Indeed, original considers that whole basin...

The potential for basin amplification of ground motion from significant seismic sources 100-200 km (62-124 mi.) from the Las Vegas Valley (such as the Death Valley Fault System) and Quaternary faults in the valley could provide sufficient energy to cause liquefaction. Key criteria of liquefiable soils coupled with a shallow groundwater table (less than 15 m (50 ft)) are met at several sites in ...

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 ...