2017
DOI: 10.17736/ijope.2017.fv05
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Prediction of Long-Term Deformations of Offshore Wind Power Plant Foundations Using HCA-Based Engineer-Oriented Models

Abstract: The paper presents three engineer-oriented models based on the high-cycle accumulation (HCA) model of Niemunis et al. (2005), dedicated to the prediction of long-term deformations of offshore wind power plant (OWPP) foundations caused by wind and wave action. A sublayering model for shallow foundations under vertical cyclic loading and two different approaches (a sublayering model and a stiffness-degradation model) for monopile foundations subjected to horizontal cyclic loading are presented. The results of t… Show more

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Cited by 6 publications
(3 citation statements)
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“…HCA models are suitable to study arbitrary problems with highcyclic loading. For the prediction of the high-cyclic response of sand, the HCA model by Niemunis et al [55] is well established [39,44,57,63,64,68,79,83]. A corresponding model for clay is missing up to now.…”
Section: Introductionmentioning
confidence: 99%
“…HCA models are suitable to study arbitrary problems with highcyclic loading. For the prediction of the high-cyclic response of sand, the HCA model by Niemunis et al [55] is well established [39,44,57,63,64,68,79,83]. A corresponding model for clay is missing up to now.…”
Section: Introductionmentioning
confidence: 99%
“…In den FE‐Simulationen mit dem Akkumulationsmodell ist eine Untersuchung der gesamten Boden‐Bauwerk‐Interaktion während der Lebensdauer eines Bauwerks möglich. Ingenieurmodelle auf Basis der Gleichungen des Akkumulationsmodells wurden in vorgeschlagen.…”
Section: Zusammenfassungunclassified
“…Owing to their relatively low computational costs, explicit methods have been already applied by several authors to the 3D FE analysis of cyclically loaded monopiles (Achmus et al, 2009;Jostad et al, 2014;Wichtmann et al, 2017;Chong, 2017;. Explicit models rely on extensive laboratory testing programmes, and build on the translation of cyclic loading histories into sequences of Ndriven monotonic steps.…”
Section: Introductionmentioning
confidence: 99%