This paper presents an overview of the DMT and of its design applications, in the light of the experience accumulated over the last 20 years. The following applications are discussed: determining common soil parameters, predicting settlements of shallow foundations, compaction control, detecting slip surfaces in clay slopes, predicting the behavior of laterally loaded piles, evaluating sand liq...

We present AceWiki, a prototype of a new kind of semantic wiki using the controlled natural language Attempto Controlled English (ACE) for representing its content. ACE is a subset of English with a restricted grammar and a formal semantics. The use of ACE has two important advantages over existing semantic wikis. First, we can improve the usability and achieve a shallow learning curve. Second,...

In recent years, artificial neural networks (ANNs) have emerged as one of the potentially most successful modelling approaches in engineering. In particular, ANNs have been applied to many areas of geotechnical engineering and have demonstrated considerable success. The objective of this paper is to highlight the use of ANNs in foundation engineering. The paper describes ANN techniques and some...

When the foundations of structures under cyclic loading with amplitudes less than their permissible load, the concern exists often for the amount of uniform and non-uniform settlement of such structures. Storage tank foundations with numerous filling and discharging and railways ballast course under repeating transportation loads are examples of such conditions. This paper deals with the effect...

This study examines the potential of soft computing technique—namely, Gaussian process regression (GPR), to predict ultimate bearing capacity (UBC) cohesionless soils beneath shallow foundations. The inputs model are width footing (B), depth (D), geometry (L/B), unit weight sand (γ), and internal friction angle (ϕ). results present were compared with those obtained by two theoretical approaches...