New formulation of reduction factors for pile groups under lateral loading through Model Tree technique

ABSTRACT

Under lateral loading, the p-y curves of a pile group differ from those of a single pile due to group effects. Hence, p-y curves of single piles are modified by reduction factors for either a row or a group of piles. In order to improve the available approaches for estimation of reduction factors, a database was compiled from the experimental test results reported in the literature. Accordingly, a robust machine learning technique i.e. the M5’ Model Tree method was used to propose new formulas for prediction of row and group reduction factors for pile groups. The new relationships are simple, physically sound and accurate based on different statistical measures. These also account for additional parameters of soil properties that affect the reduction factors. The new models compare favorably with recommendations of design guidelines. Furthermore, considering different levels of risks, appropriate safety factors that can be useful for engineers are presented.

KEYWORDS:

• Pile group
• p–y method
• reduction factor
• soft computing
• probabilistic design

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Reza Khoshroo obtained his B.Sc. in Civil Engineering and his M.Sc. in Geotechnical Engineering at the Department of Civil Engineering, Shahed University. His main research interest centers on Pile Engineering. He currently works as a Geotechnical Engineer Consultant.

Ali Derakhshani is currently a faculty member at the Department of Civil Engineering, Shahed University. Ali completed his Ph.D. at the University of Tokyo and his undergraduate studies at the University of Tehran. His research interests lie in the area of Geotechnical and Earthquake Engineering. He has collaborated actively with researchers in several disciplines of geotechnical engineering particularly prediction, optimization, reliability and physical modelling.