The digitization process has been going very fast lately as well BIM modelling, both are strongly connected. paper briefly evaluates this from different levels, with the main focus on conceptual level. 3D geotechnical model of ground comes to fore, plays an important role also in because practically all building structures situated ground. Since EN 1997 Geotechnical design uses and computationa...

This paper reports the impact of coronavirus disease 2019 on practice and delivery geotechnical geoenvironmental engineering (GGE) education modules, including lectures, lab sessions, student assessments research activities, based feedback from faculty members in 14 countries/regions around world. Faculty have since adopted a series contingent measures to enhance teaching learning experience du...

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 first journal article on neural network application in civil/structural engineering was published in this journal in 1989. This article reviews neural network articles published in archival research journals since then. The emphasis of the review is on the two fields of structural engineering and construction engineering and management. Neural networks articles published in other civil engi...

due to its critical impact and significant destructive nature during and after seismic events, soil liquefaction and liquefactioninduced lateral ground spreading have been increasingly important topics in the geotechnical earthquake engineering field during the past four decades. the aim of this research is to develop an empirical model for the assessment of liquefaction-induced lateral ground ...

Collapse mechanisms consisting of sliding rigid blocks are used widely as the basis for computing bounds on limit loads in geotechnical and structural engineering problems. While these mechanisms are conceptually straightforward to analyze, evaluating kinematically admissible velocities for a particular arrangement of blocks can be a tedious process, and optimizing the geometry of the mechanism...

Over the last few years or so, the use of artificial neural networks (ANNs) has increased in many areas of engineering. In particular, ANNs have been applied to many geotechnical engineering problems such as to predict pile capacity, settlement, liquefaction etc. The correlations between shear strength parameters and other soil properties individually are common among Geotechnical engineers. Bu...