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PISA design model for monopiles for offshore wind turbines: application to a marine sand.

Authors :
Burd, Harvey J.
Taborda, David M. G.
Zdravković, Lidija
Abadie, Christelle N.
Byrne, Byron W.
Houlsby, Guy T.
Gavin, Kenneth G.
Igoe, David J. P.
Jardine, Richard J.
Martin, Christopher M.
McAdam, Ross A.
Pedro, Antonio M. G.
Potts, David M.
Source :
Géotechnique. Nov2020, Vol. 70 Issue 11, p1048-1066. 19p.
Publication Year :
2020

Abstract

This paper describes a one-dimensional (1D) computational model for the analysis and design of laterally loaded monopile foundations for offshore wind turbine applications. The model represents the monopile as an embedded beam and specially formulated functions, referred to as soil reaction curves, are employed to represent the various components of soil reaction that are assumed to act on the pile. This design model was an outcome of a recently completed joint industry research project – known as PISA – on the development of new procedures for the design of monopile foundations for offshore wind applications. The overall framework of the model, and an application to a stiff glacial clay till soil, is described in a companion paper by Byrne and co-workers; the current paper describes an alternative formulation that has been developed for soil reaction curves that are applicable to monopiles installed at offshore homogeneous sand sites, for drained loading. The 1D model is calibrated using data from a set of three-dimensional finite-element analyses, conducted over a calibration space comprising pile geometries, loading configurations and soil relative densities that span typical design values. The performance of the model is demonstrated by the analysis of example design cases. The current form of the model is applicable to homogeneous soil and monotonic loading, although extensions to soil layering and cyclic loading are possible. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00168505
Volume :
70
Issue :
11
Database :
Academic Search Index
Journal :
Géotechnique
Publication Type :
Academic Journal
Accession number :
146528150
Full Text :
https://doi.org/10.1680/jgeot.18.P.277