Design of axially loaded bored piles – European codes, practice and experience

Exploring Tree-Based Machine Learning Models to Estimate the Ultimate Pile Capacity From Cone Penetration Test Data

“…Because of the similarity between pile and cone, the CPT can be considered as a miniature pile where the CPT data such as cone tip resistance (q c ) corresponds to the pile end bearing and the cone sleeve friction (f s ) corresponds to pile shaft resistance. Therefore, throughout the years, many empirical and semi-empirical relationships have been established between the CPT data and pile capacity to develop many direct pile-CPT methods (e.g., Bustamante and Gianeselli [1], Bloomquist et al [2], Hu et al [3], Abu-Farsakh and Titi [4], and De Cock and Legrand [5]). Designing piles using these methods offers advantages over other methods since they can give a quick initial estimation of capacity before pile installation at a far lower cost.…”