Gao, Z. , Yan, L. and Whyte, S. (2023) B-SDM: a bounding surface stiffness degradation method for modelling the long-term ratcheting response of offshore wind turbine foundations. Computers and Geotechnics, 154, 105157. (doi: 10.1016/j.compgeo.2022.105157)
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Abstract
Long-term cyclic loading from environmental conditions can lead to excessive permanent rotation of offshore wind turbines (OWTs) due to the ratcheting response of sand. A practical hybrid strain accumulation approach, termed the bounding surface stiffness degradation method (B-SDM), for finite element analysis (FEA)-based design of OWTs under cyclic loading is presented. This method includes a base elastoplastic constitutive model that captures the stress–strain relationship in the first load-unload cycle and a cyclic strain accumulation scheme for modelling the subsequent cycles. The presented approach allows for a versatile overlay scheme that calculates cyclic strain accumulation to be applied to a range of base elastoplastic models. The base constitutive model utilised is established based on the bounding surface concept and considers strain-hardening and plastic volume change before failure. The method has been validated by single element test data on sand and used in finitesingle-element element modelling of monopile response in cyclic loading. When the monopile response is modelled in 3D FEA, the conventional step-by-step modelling approach is used until the end of the first regular cycle. Strain accumulation in subsequent cycles is modelled using the B-SDM, in which the plastic modulus and dilatancy relationship are scaled based on a strain accumulation law.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Gao, Dr Zhiwei |
| Authors: | Gao, Z., Yan, L., and Whyte, S. |
| College/School: | College of Science and Engineering > School of Engineering > Infrastructure and Environment |
| Journal Name: | Computers and Geotechnics |
| Publisher: | Elsevier |
| ISSN: | 0266-352X |
| ISSN (Online): | 1873-7633 |
| Published Online: | 05 December 2022 |
| Copyright Holders: | Copyright © 2022 The Authors |
| First Published: | First published in Computers and Geotechnics 154: 105157 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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