CPT-Based Axial Capacity Design Method for Driven Piles in Clay

Axial resistance of CFA piles in Dublin Boulder Clay

Neural Network Application in Prediction of Axial Bearing Capacity of Driven Piles

This paper presents the application of the Artificial Neural Network (ANN) for prediction of axial capacity of a driven pile by adopting data collected from several projects in Indonesia and Malaysia. As many as 300 data were selected for this study. In this study, ANN was set and trained to predict the axial bearing capacity from high strain dynamic testing, i.e. Pile Driving Analyzer (PDA) da...

Analysis of Consolidation around Driven Piles in Overconsoli Dated Clay

The principal objective of this thesis is to assess the capabilities of an already established analytical framework for understanding and predicting the behavior of piles driven in highly overconsolidated clays (OCR24). The skin friction mobilized during pile loading to failure depends on the sequence of preceding events, i.e. pile installation and soil consolidation. This research utilizes the...

Predicting ε50 for Lateral Behavior of Piles in Marine Clay Using an Evolutionary Based Approach

Analyzing piles subjected to lateral loads significantly depends on soil resistance at any point along the pile as a function of pile deflection, known as p-y curve. On the other hand, the deformation characteristics of soil defined as “the soil strain at 50% of maximum deviatoric stress (ε50)” has considerable effect on the generated p-y curve. In this research, several models are proposed to ...

A Method for Predicting Pile Capacity Using Cone Penetration Test Data

The massive construction in poor lands has encouraged engineers to use deep foundations in order to transfer superstructure loads to the subsoil. Since soil excavation, sampling, and laboratory testing as a part of site investigation are relatively difficult, in-situ tests such as cone penetration test (CPT) as a very informative test may be recommended. The CPT has been widely used in engineer...