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

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.

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Publication Details

Journal
MethodsX
Published
2025-11-26
DOI
https://doi.org/10.1016/j.mex.2025.103738
Primary Topic
Geotechnical Engineering and Soil Mechanics
Type
article
Field-Weighted Citation Impact
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article

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

Harvey J. Burd, Stephen K. Suryasentana, Byron W. Byrne, Ioannis Kamas
MethodsX
Geotechnical Engineering and Soil Mechanics
article

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

Harvey J. Burd, Stephen K. Suryasentana, Byron W. Byrne, Ioannis Kamas
article en

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.

MethodsXVol. 16
University of Strathclyde (GB), University of Oxford (GB)
Openalex Percentile: Top 62%
Geotechnical Engineering and Soil Mechanics
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Data-driven 1D design model for monotonic lateral loading of monopile foundations — Harvey J. Burd, Stephen K. Suryasentana, et al. · MethodsX (2025) | TGRS Research Map | TGRS