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 ...

Due to inherent variability arising from unpredictable geological depositional and post-depositional processes, the geotechnical parameters of Laflamme sea clay deposits remain highly uncertain. This study aims develop apply a methodology assess uncertainties using statistical distributions for landslide-prone Saguenay Lac-Saint-Jean (SLSJ) region. We used measured physical mechanical Sea clays...

Waste management is a complex and detailed process that involves evaluation of certain important factors, such as a geological, geotechnical, hydrological, hydrogeological, climate, urban management, environmental, along with social, cultural, and psychological parameters. Unfortunately, in Iran, there is minimal evaluation of initial parameters and in some cases even don’t exist. The purpose o...

The purpose of this paper aims for a geotechnical analysis based on experimental physical and mechanical characteristics of Miocene marl situated at Medea region in Algeria. More than 150 soil samples were taken in the investigation part of the North-South Highway which extends over than 53 km from Chiffa in the North to Berrouaghia in the South of Algeria. The analysis of data in terms of Atte...

Parallel computing is gradually becoming a main stream tool in geotechnical simulations. The need for high fidelity and for modeling of fairly large 3-dimensional (3D) spatial configurations is motivating this direction of research. A new program ParCYCLIC for seismic geotechnical applications has been developed. Salient characteristics of the employed parallel sparse solver will be presented. ...

Over the last few years, artificial neural networks (ANNs) have been used successfully for modeling almost all aspects of geotechnical engineering problems. Whilst ANNs provide a great deal of promise, they suffer from a number of shortcomings such as knowledge extraction, extrapolation and uncertainty. This paper presents a state-of-the-art examination of ANNs in geotechnical engineering and p...