Parameterisation of the Koppejan settlement prediction model using cone penetration testing and gradient boosting

Duffy, Kevin; Siderius, Klaas; Long, Mike

This study examines how cone penetration test (CPT) parameters, such as cone tip resistance and friction sleeve resistance, can be used to assess the compressibility of fine-grained soils across the Netherlands based on a database of 286 paired CPTs and oedometer tests from across the country. This is done with the aim of refining and simplifying the parameterisation of the Koppejan consolidation coefficients, a procedure which can yield significant error and is prone to misinterpretation. It was found that there is significant potential in using gradient boosting methods to obtain a relationship between the CPT parameters and the Koppejan parameters, with further investigation required into the noise within the dataset and the acquisition of additional high-quality samples. The use of such methods will offer a means of reducing the influence of human error or misinterpretation on the prediction of settlement and provide further confidence in the use of machine learning methods in engineering practice.

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Duffy, Kevin / Siderius, Klaas / Long, Mike: Parameterisation of the Koppejan settlement prediction model using cone penetration testing and gradient boosting. 2020. Copernicus Publications.

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Rechteinhaber: Kevin Duffy et al.

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