Coupled hydro-mechanical modelling of open-ended driven piles in chalk under impact hammering
File(s)
Published version
Author(s)
Wen, Kai
Kontoe, Stavroula
Jardine, Richard J
Liu, Tingfa
Type
Journal Article
Abstract
The reliable prediction of axial bearing capacity is challenging for offshore, port, bridge or other structures founded on piles driven in chalk – a fine-grained, highly fissured and brittle carbonate rock. While high strain dynamic load testing is routinely used to monitor pile resistances during driving or after a set-up period, conventional one-dimensional signal matching techniques yield non-unique solutions from these data and cannot adequately model wave propagation or complex soil-structure interaction. This study considers hydro-mechanically coupled finite element simulations of impact hammering on open-ended piles in chalk, using measured force-time history from dynamic sensors mounted near pile head as an input. Valuable insights are gained by comparing FE model's predicted shaft displacement and driving resistances with results from the signal matching analysis and field data. This work highlights the potential of FE approaches to capture more accurately the important changes in chalk properties, excess pore pressures and time-dependent axial resistances generated by either continuous percussive driving or single re-strike hammer blows.
Date Issued
2026-02-01
Date Acceptance
2025-11-14
Citation
Soil Dynamics and Earthquake Engineering, 2026, 201
ISSN
0267-7261
Publisher
Elsevier
Journal / Book Title
Soil Dynamics and Earthquake Engineering
Volume
201
Copyright Statement
© 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Subjects
BEHAVIOR
Chalk
Coupled finite element analysis
Engineering
Engineering, Geological
Geology
Geosciences, Multidisciplinary
Impact hammering
Open-ended pile
Physical Sciences
Science & Technology
Signal matching
Technology
Publication Status
Published
Article Number
109967
Date Publish Online
2025-11-18