B-SDM: a bounding surface stiffness degradation method for modelling the long-term ratcheting response of offshore wind turbine foundations

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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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
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
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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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
314386RAEng Ind Fellowship Zhiwei GaoZhiwei GaoRoyal Academy of Engineering (RAE)IF2122\149ENG - Infrastructure & Environment