Geotechnical engineers continually seek accurate methodologies for predicting the time-dependent settlement of embankments on soft soils. This paper introduces a novel data-driven approach that utilises constant rate of strain (CRS) test data to forecast embankment settlements. The proposed framework circumvents the requirement to subjectively assign soil parameters used in traditional forecasting models by directly integrating CRS test data into an automated analytical process, thereby significantly reducing manual effort and user-dependent variation in forecast results. The accuracy of the method is demonstrated through applications to real-world trial embankments in Australia and the Netherlands. All data used in this study are freely available in digital format from Datamap.
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June 2025
Research Article|
August 07 2024
Data-driven forecasting of embankment settlements on soft soils using constant rate of strain test data Available to Purchase
Xiao Wan
;
Xiao Wan
PhD Student, Department of Civil, Mining and Environmental Engineering, The University of Western Australia, Crawley, Perth, WA, Australia (corresponding author: xiao.wan@research.uwa.edu.au)
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James Doherty
James Doherty
Associate Professor, Department of Civil, Mining and Environmental Engineering, The University of Western Australia, Crawley, Perth, WA, Australia
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Publisher: Emerald Publishing
Received:
December 14 2023
Accepted:
July 18 2024
Online ISSN: 1751-8563
Print ISSN: 1353-2618
Emerald Publishing Limited: All rights reserved
2025
Proceedings of the Institution of Civil Engineers - Geotechnical Engineering (2025) 178 (3): 366–377.
Article history
Received:
December 14 2023
Accepted:
July 18 2024
Citation
Wan X, Doherty J (2025), "Data-driven forecasting of embankment settlements on soft soils using constant rate of strain test data". Proceedings of the Institution of Civil Engineers - Geotechnical Engineering, Vol. 178 No. 3 pp. 366–377, doi: https://doi.org/10.1680/jgeen.23.00327
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