PISA: Recent Developments in Offshore Wind Turbine Monopile Design

Byrne, Byron W.; Burd, H. J.; Gavin, Kenneth; Houlsby, G. T.; Jardine, Richard J.; McAdam, Ross A.; Martin, C. M.; Potts, David M.; Taborda, David M.G.; Zdravković, Lidija

doi:10.1007/978-981-13-2306-5_48

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…CPT-based static axial design methods, intended to predict medium-term pile capacity, have gained popularity in recent years and have been used in SRD predictions with variable success (see e.g. Byrne et al, 2018, Byrne et al, 2012, Schneider and Harmon, 2010. Lehane et al (2020) describe a new 'unified' method to predict static axial pile capacity in sands (with fines contents <10%) which draws together the four CPT-based methods recommended in API (2014).…”

Section: Introductionmentioning

confidence: 99%

Bayesian Optimization for CPT-Based Prediction of Impact Pile Drivability

Buckley,

Chen,

Sheil

et al. 2023

J. Geotech. Geoenviron. Eng.

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Section: Introductionmentioning

confidence: 99%

Bayesian Optimization for CPT-Based Prediction of Impact Pile Drivability

Buckley,

Chen,

Sheil

et al. 2023

J. Geotech. Geoenviron. Eng.

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“…Monopiles are typically designed using a lateral resistance-displacement approach, namely the p-y method, which considers the pile as a beam supported by a nonlinear Winkler spring system [8][9][10][11]. The p-y behaviour is Published in ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 7 (4) 2021 characterised by load-displacement curves, and has been the subject of substantial research over recent years [5,[12][13][14][15]. Monopiles are typically designed with a view to limiting mudline rotations to less than 0.25 degrees over the turbine lifespan [16].…”

Section: Introductionmentioning

confidence: 99%

Impact of Geotechnical Uncertainty on the Preliminary Design of Monopiles Supporting Offshore Wind Turbines

Reale

Tott-Buswell

Prendergast

2021

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

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The growing demand for clean renewable energy sources and the lack of suitable nearshore sites is moving the offshore wind industry toward developing larger wind turbines in deeper water locations further offshore. This is adding significant uncertainty to the geotechnical design of monopiles used as foundations for these systems. Soil testing becomes more challenging, rigid monopile behaviour is less certain, and design methods are being applied outside the bounds of the datasets from which they were originally derived. This paper examines the potential impact of certain elements of geotechnical uncertainty on monotonic load-displacement behaviour and design system natural frequency of an example monopile-supported offshore wind turbine (OWT). Geotechnical uncertainty is considered in terms of spatial variability in soil properties derived from Cone Penetration Tests (CPT), parameter transformation uncertainty using the rigidity index, and design choice for subgrade reaction modelling. Results suggest that spatial variability in CPT properties exhibits limited impact on design load-displacement characteristics of monopiles as vertical spatial variability tends to be averaged out in the process to develop discrete soil reaction-lateral displacement (p-y) models. This highlights a potential issue whereby localised variations in soil properties may not be captured in certain models. Spatial variability in CPT data has a noticeable effect on predicted system frequency responses of OWTs employing a subgrade reaction model approach, and the influence of subgrade reaction model choice is significant. The purpose of this paper is to investigate the effect of uncertainty in soil data, model transformation, and design model choice on resulting structural behaviour for a subset of available design approaches. It should be noted that significant further uncertainty exists and a wide variety of alternative models can be used by designers, so the results should be interpreted qualitatively.

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“…Several researchers (Matlock, 1970;Reese et al 1974Reese and Welch, 1975;O'Neill and Murchinson, 1983) have developed formulations for p-y curves, however the majority of these were derived from load tests performed on piles with large length to diameter (L/D) ratios that are relatively flexible when compared to the rigid piles used in the offshore wind sector. Because of their deflected shape, rigid monopiles develop additional components of resistance (Byrne et al, 2019) that are not considered by the commonly adopted hyperbolic sand model, as formulated in the API design code (API, 2007) for flexible piles.…”

Section: Introductionmentioning

confidence: 99%

Influence of scour depth and type on p–y curves for monopiles in sand under monotonic lateral loading in a geotechnical centrifuge

et al. 2020

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The influence of scour on the lateral response of monopile foundations for offshore wind turbines is investigated in this paper. Application of lateral load-displacement (p-y) curves to predict the lateral pile behaviour is subject to uncertainty as many of the presently used design approaches have been derived for long, slender piles. These piles, with typical length/diameter ratios (L/D) of greater than 10 behave differently compared to rigid monopiles, with L/D typically less than 6. In this paper, centrifuge tests are conducted on a monopile model under various scour scenarios and p-y curves are derived from strain gauges embedded along the model pile wall. Global scour and two different shapes for local scour holes are studied. Using the piecewise polynomial method for extraction of p-y curves from sparsely distributed strain measurements, it is recommended to use a 4th order polynomial for the moment profile to extract soil reaction and a 7th order polynomial for the moment profile to calculate pile deflection. Results indicate that the pile behaviour is significantly influenced by the nature (size, shape) of the scour holes affecting the pile-soil system and suggest that the p-y curves should be appropriately modified to account for this behaviour.

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PISA: Recent Developments in Offshore Wind Turbine Monopile Design

Abstract: 5_48 Important note To cite this publication, please use the final published version (if applicable). Please check the document version above.

Cited by 7 publications

References 4 publications

Bayesian Optimization for CPT-Based Prediction of Impact Pile Drivability

Bayesian Optimization for CPT-Based Prediction of Impact Pile Drivability

Impact of Geotechnical Uncertainty on the Preliminary Design of Monopiles Supporting Offshore Wind Turbines

Influence of scour depth and type on p–y curves for monopiles in sand under monotonic lateral loading in a geotechnical centrifuge

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