Abstract

This paper explores the application of a numerical method for modeling pseudorandom cyclic loading, at very large cycle numbers, to the design of offshore wind turbine foundations. The work expands the development of a novel constitutive modeling framework, the hyper-plastic accelerated ratcheting model (HARM), for which the key constitutive equations and the calibration method are presented. HARM captures both the nonlinear hysteretic behavior during cycling and the accumulation of permanent deformation (ratcheting) with large cycle numbers in a rigorous, yet computationally efficient manner, enabling the computation of foundation response over a lifetime of loading. This paper demonstrates how the approach can be applied to the cyclic pile field testing from the pile soil analysis (PISA) project. Following calibration, the model is used to assess pile response to three load signals representative of operational and extreme loads throughout the lifetime of a full-scale wind turbine foundation: (1) a short storm, (2) a 35-h storm, and (3) lifetime loading. The paper discusses how computational efficiency can be achieved while maintaining a high level of calculation accuracy.

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Data Availability Statement

Some data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Some data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.

Acknowledgments

The authors acknowledge the contributions by Ørsted in providing support and funding for the development of this work. Byrne is supported by the Royal Academy of Engineering under the Research Chairs and Senior Research Fellowships scheme.

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Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 149Issue 8August 2023

History

Received: Feb 18, 2021
Accepted: Oct 17, 2022
Published online: May 17, 2023
Published in print: Aug 1, 2023
Discussion open until: Oct 17, 2023

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Assistant Professor in Civil Engineering, Dept. of Engineering, Univ. of Cambridge, Cambridge, UK; formerly, Dept. of Engineering Science, Univ. of Oxford, Oxford, UK; Civil Engineering Building, National Research Facility for Infrastructure Sensing, 7a JJ Thomson Ave., Cambridge CB3 0FA, UK (corresponding author). ORCID: https://orcid.org/0000-0002-5586-6560. Email: [email protected]
William J. A. P. Beuckelaers
Director, OffshoreWind.io bv, Diepestraat 201 C, 3080 Tervuren, Belgium; formerly, Dept. of Engineering Science, Univ. of Oxford, Parks Rd., Oxford OX1 3PJ, UK.
Professor, Dept. of Engineering Science, Univ. of Oxford, Parks Rd., Oxford OX1 3PJ, UK. ORCID: https://orcid.org/0000-0002-9704-0767
Professor Emeritus, Dept. of Engineering Science, Univ. of Oxford, Parks Rd., Oxford OX1 3PJ, UK. ORCID: https://orcid.org/0000-0001-5807-8781
Associate Professor, Dept. of Engineering Science, Univ. of Oxford, Parks Rd., Oxford OX1 3PJ, UK. ORCID: https://orcid.org/0000-0002-8328-0786
Senior Geotechnical Engineer, Ørsted Power (UK) Ltd., London SW1P 1WG, UK; formerly, Associate Professor, Dept. of Engineering Science, Univ. of Oxford, Parks Rd., Oxford OX1 3PJ, UK. ORCID: https://orcid.org/0000-0003-0292-3549

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