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...

Integrating malaria data into a decision support system (DSS) using Geographic Information System (GIS) and remote sensing tool can provide timely information and decision makers get prepared to make better and faster decisions which can reduce the damage and minimize the loss caused. This paper attempted to asses and produce maps of malaria prone areas including the most important natural fact...

This paper deals with landslide hazard and risk analysis using Geographic Information System (GIS) and remote sensing data for Cameron Highland, Malaysia. Landslide locations were identified in the study area from interpretation of aerial photographs and field surveys. Topographical/geological data and satellite images were collected and processed using GIS and image processing tools. There are...

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 ...

Flood is one of the most destructive natural hazards which impose vast costs in order to compensate its effects, especially in areas where there are manifestations of human development (such as cities). Urban development, particularly in the margins of rivers, has increased flood damages in recent decades. The aim of this study was to develop flood hazard maps of Birjand plain based on analyses...

About 80 percent of Iran is arid and semi-arid and about 35 percent of this area is susceptible to desertification hazard. Therefore desertification assessment and identification of the most important criteria for the assessment of risk and a basis for development of management plans is essential. This research was conducted in the semi-arid region of Agh-Band in the Golestan province, Iran wit...