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Prediction of Pile Setup for Driven Pipe Piles in Fine-Grained Soils Using Gene Expression Programming

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Abstract

This paper presents the development of a novel model for predicting setup of closed-ended steel pipe (CEP) piles driven in predominantly fine-grained soils using gene expression programming (GEP). The proposed GEP model incorporates both pile and soil properties and is based on dynamic pile load test data obtained from 109 piles installed at 59 different sites. Multiple variable regression analyses conducted on the compiled dataset showed that the most influential parameters in predicting the time-dependent resistance of driven piles were the resistance mobilized at the end of pile installation, time elapsed after installation, pile shaft surface area, and average silt content along the pile length. The data were divided into a training set for model calibration and a validation set for model verification. Sensitivity analysis was performed to assess the model’s robustness. A comparison of the new GEP model with existing pile setup models in the literature was carried out using the collected data, which demonstrated that the proposed GEP model significantly outperformed the tested models. Additionally, data from 22 additional CEP piles were compiled from the literature for model verification purposes. The results showed that the proposed GEP model can predict the total pile resistance with good accuracy.

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Data Availability

Some or all data, models, or code used during the study were provided by a third party. Direct requests for these materials may be made to the provider as indicated in the acknowledgements.

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Acknowledgements

The authors express their gratitude to the Ohio Department of Transportation (ODOT) and Federal Highway Administration (FHWA) for sponsoring this research project. The technical help from ODOT’s Geotechnical Office is greatly appreciated. The authors are also thankful to E.L.Robinson Engineering, GRL Engineers Inc., CTL Engineering Inc., and G2 Consulting Group for their input and the documents they provided to collect data.

Funding

Funding was provided by Ohio Department of Transportation (Grant No. 104904)

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  1. Department of Civil and Construction Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, 31451, Dammam, Saudi Arabia

    Saeed Alzahrani

  2. Department of Civil Engineering, University of Dayton, 300 College Park, Dayton, OH, 45469-0243, USA

    Ömer Bilgin

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Saeed Alzahrani formerly graduate student at the University of Dayton

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Alzahrani, S., Bilgin, Ö. Prediction of Pile Setup for Driven Pipe Piles in Fine-Grained Soils Using Gene Expression Programming. Geotech Geol Eng 41, 3605–3624 (2023). https://doi.org/10.1007/s10706-023-02476-8

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