Influence of Settlement on Base Resistance of Long Piles in Soft Soil—Field and Machine Learning Assessments

Author:

Nguyen Thanh T.1ORCID,Le Viet D.2,Huynh Thien Q.1,Nguyen Nhu H.T.3

Affiliation:

1. School of Civil and Environmental Engineering, Ultimo Campus, University of Technology Sydney, Ultimo, NSW 2007, Australia

2. Department of Civil Engineering, Gumi Campus, Kumoh National Institute of Technology, Gumi 39177, Gyeongbuk, Republic of Korea

3. School of Engineering, Geelong Waurn Ponds Campus, Deakin University, Geelong, VIC 3217, Australia

Abstract

Understanding the role that settlement can have on the base resistance of piles is a crucial matter in the design and safety control of deep foundations under various buildings and infrastructure, especially for long to super-long piles (60–90 m length) in soft soil. This paper presents a novel assessment of this issue by applying explainable machine learning (ML) techniques to a robust database (1131 datapoints) of fully instrumented pile tests across 37 real-life projects in the Mekong Delta. The analysis of data based on conventional methods shows distinct responses of long piles to rising settlement, as compared to short piles. The base resistance can rapidly develop at a small settlement threshold (0.015–0.03% of pile’s length) and contribute up to 50–55% of the total bearing capacity in short piles, but it slowly rises over a wide range of settlement to only 20–25% in long piles due to considerable loss of settlement impact over the depth. Furthermore, by leveraging the advantages of ML methods, the results significantly enhance our understanding of the settlement–base resistance relationship through explainable computations. The ML-based prediction method is compared with popular practice codes for pile foundations, further attesting to the high accuracy and reliability of the newly established model.

Publisher

MDPI AG

Reference47 articles.

1. Fellenius, B.H. (2024, March 30). Basic of Foundation Design. Available online: https://www.fellenius.net/papers/428%20The%20Red%20Book,%20Basics%20of%20Foundation%20Design%202023.pdf.

2. Dynamic characterisation of wind turbine towers account for a monopile foundation and different soil conditions;Romero;Struct. Infrastruct. Eng.,2017

3. Performance of Composite PVD-SC Column Foundation under Embankment through Plane-Strain Numerical Analysis;Nguyen;Int. J. Geomech.,2022

4. Improved Wave Equation Analysis for Piles in Soil-Based Intermediate Geomaterials with LRFD Recommendations and Economic Impact Assessment;Kalauni;Geotechnics,2024

5. Zucca, M., Franchi, A., Crespi, P., Longarini, N., and Ronca, P. (2018, January 9–11). The new foundation system for the transept reconstruction of the Basilica di Collemaggio. Proceedings of the 10th International Masonry Conference, IMC, Milan, Italy.

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