Year: 2025
Type: article
Abstract: The large-diameter monopile is a commonly used foundation concept for offshore wind turbines. The advantages of geometrical simplicity and reliable performance make it often the most attractive solution. Despite the concept’s high popularity, optimisation of the current design models can still be made. To address fundamental understanding of modelling effects in centrifuge testing of laterally loaded monopiles in sand, a large coordinated centrifuge-testing programme across nine different centrifuge centres worldwide has been conducted. This paper presents firstly the results of a local benchmark modelling of model test series performed in two centrifuges and secondly the results of global benchmark testing across the nine centrifuges. The results highlight the reliability of centrifuge testing as it was possible to model a similar prototype response in both the local and global benchmark tests, despite differences in the experimental setups and pile geometries. Furthermore, as examples of the modelling technique, two different cases are presented, one showing the effect of installation and one showing the effect of pile penetration depth. Finally, recommendations are provided to enhance centrifuge testing of monopile response under complex loading.
Authors: Rasmus Tofte Klinkvort, Britta Bienen, Shengsheng Fan, Jonathan Black, Steven Bayton, Luc Thorel, Matthieu Blanc, Gopal Santana Phani Madabhushi, Stuart K. Haigh, Thomas Broad, Varvara Zania, Amin Askarinejad, Qiang Li, Dong Soo Kim, Sunji Park, Luke J. Prendergast, Kunkun Cheng, Charles Heron, Alec Marshall, Marcio De Souza Soares de Almeida, Maria Fernanda Barra
Institutions: Norwegian Geotechnical Institute, The University of Western Australia, Queen's University Belfast, University of Sheffield, Multiconsult (Norway), Université Gustave Eiffel, University of Cambridge, Technical University of Denmark, Delft University of Technology, Korea Advanced Institute of Science and Technology, University of Nottingham, Universidade Federal do Rio de Janeiro
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4417426266