Towards axial capacity predictions through MWD data

what can we learn from installation efforts of drilled displacement piles

Conference Paper (2025)
Author(s)

Genesis Figueroa (University of California)

Kevin Duffy (TU Delft - Civil Engineering & Geosciences)

Morgan NeSmith (Berkel & Company Contractors, Inc.)

Anne Lemnitzer (University of California)

Research Group
Geo-engineering
DOI related publication
https://doi.org/10.37308/DFIEFFC251550208 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Geo-engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Pages (from-to)
94-103
Event
DFI-EFFC International Conference on Deep Foundations and Ground Improvement 2025 (2025-05-21 - 2025-05-23), Campus of the KU Leuven, Bruges Meeting and Convention Center, Bruges, Belgium
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Abstract

The future of performance-based foundation design involves integrating Measurement-while-Drilling (MWD) data to enhance the resilience and construction efficiency of pile foundations. During the installation of Drilled Displacement Piles (DDPs), measurements include penetration speed (vz), rotational speed (vr), downward thrust, torque (T) or hydraulic pressure (Pdrill). With these measurements in mind, data from 32 DDPs across 10 project sites in the US and Europe were collected and analyzed. A generalized formulation for installation effort was developed to compare existing pile databases with the data gathered by the authors. The proposed method uses a decomposed installation effort model that separately accounts for the shaft and toe portions of the pile. A regression analysis of the dataset shows the potential of using installation effort to predict pile capacity and provides fundamental knowledge towards establishing a basic framework for estimating pile load capacities during DDP installation. This application highlights the value of real-time monitoring data in performance-based foundation design.

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