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Abstract
Modelling soil nonlinearity in pile settlement analysis often requires numerical analysis based either on 1-dimensional “t-z” curves or even multi-dimensional constitutive models, which may not be appealing to geotechnical engineers. A number of alternative approaches are available that take advantage of simplified constitutive models and analytical methods to develop solutions that are suitable for spreadsheet calculations. This paper investigates the error introduced by the assumptions in two such models. A theoretical “t-z” curve is developed based on a simplified constitutive model and a new approximate approach developed that incorporates nonlinearity for both shaft and base resistance. This is compared to the predictions of a linear elastic – perfectly plastic method using an informed choice of linear elastic stiffness. A basic sensitivity study is carried out comparing the two approaches with a 1-dimensional numerical solution.
Original language | English |
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Title of host publication | Proceedings of the XVII ECSMGE-2019 |
Subtitle of host publication | Geotechnical Engineering foundation of the future |
Publisher | Icelandic Geotechnical Society |
Number of pages | 8 |
ISBN (Electronic) | 978-9935-9436-1-3 |
DOIs | |
Publication status | Published - 30 Sept 2019 |
Event | European Conference on Soil Mechanics and Geotechnical Engineering - Reykjavik, Iceland Duration: 1 Sept 2019 → 6 Sept 2019 Conference number: 27 https://www.ecsmge-2019.com/ |
Conference
Conference | European Conference on Soil Mechanics and Geotechnical Engineering |
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Abbreviated title | ECSMGE-2019 |
Country/Territory | Iceland |
City | Reykjavik |
Period | 1/09/19 → 6/09/19 |
Internet address |
Keywords
- piles & pilling
- settlement
- soil/structure interaction
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Dive into the research topics of 'Prediction of pile settlement using simplified models'. Together they form a unique fingerprint.Projects
- 1 Finished
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Databases to INterrogate Geotechnical Observations (DINGO)
Vardanega, P. J. (Principal Investigator)
1/07/17 → 9/06/19
Project: Research