Data-driven 1D design model for monotonic lateral loading of monopile foundations

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Kamas, Ioannis and Suryasentana, Stephen K and Burd, Harvey J and Byrne, Byron W (2026) Data-driven 1D design model for monotonic lateral loading of monopile foundations. MethodsX, 16. 103738. ISSN 2215-0161 (https://doi.org/10.1016/j.mex.2025.103738)

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Abstract

Monopiles are a widely-used foundation system for offshore wind turbine support structures. In current practice, design calculations typically employ one-dimensional (1D) models in which the monopile is represented as an embedded beam. The current study presents a data-driven 1D design model for the analysis of offshore monopiles subjected to monotonic lateral load and moment loading. The method is based on the PISA design model framework; enhancements are incorporated in the model to improve its accuracy, scalability and to facilitate applications to a wide range of geotechnical conditions. The data-driven model incorporates a spline-based parametrisation of the soil reaction curves combined with machine learning techniques. The model is calibrated using a database of previously-published three-dimensional finite element calibration analyses. The method described in the current paper is concerned with:•Modifications to the PISA design model framework to develop a data-driven 1D design model.•Calibration of the data-driven 1D model for ground conditions comprising: (i) offshore glacial tills with varying strength-stiffness properties, and (ii) sands with a wide range of relative densities.•Validation of the proposed method by comparing 1D model predictions for monopiles in homogeneous and layered soils with detailed 3D finite element analyses.

ORCID iDs

Kamas, Ioannis, Suryasentana, Stephen K ORCID logoORCID: https://orcid.org/0000-0001-5460-5089, Burd, Harvey J and Byrne, Byron W;
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