A method for identification of an effective Winkler foundation for largediameter offshore wind turbine support structures based on in-situ measured small-strain soil response and 3D modelling

Research output: Contribution to journalArticleScientificpeer-review

16 Citations (Scopus)
45 Downloads (Pure)

Abstract

A procedure is presented for the derivation of an effective small-strain soil stiffness governing the soil– structure interaction of large-diameter monopiles. As a first step, geophysical measurements are used to estimate the depth-dependent shear modulus G of the soil stratum. The second step is to use this modulus and an estimated Poisson’s ratio and density in a 3D model, which captures the deformation of both the monopile and the soil. As a final step, a new method is proposed to use the computed 3D response for identification of a depth dependent stiffness of an effective Winkler foundation. This stiffness can be used in a 1D model, which is more fit for design purposes. The presented procedure is deemed more appropriate than the often used ‘‘p–y curve” method, which was once calibrated for slender flexible piles and for which the input is based on the large-strain cone penetration test. The three steps are demonstrated for a particular design location. It is also shown that the displacements of the 3D model are smaller and the resulting fundamental natural frequency is higher than calculated with the p–y method.
Original languageEnglish
Pages (from-to)221-236
Number of pages16
JournalEngineering Structures
Volume124
Issue numberOctober
DOIs
Publication statusPublished - 6 Jun 2016

Keywords

  • Offshore wind foundations
  • Fundamental natural frequency
  • Small-strain soil stiffness
  • In-situ seismic measurement
  • 3D to 1D modelling translation

Fingerprint Dive into the research topics of 'A method for identification of an effective Winkler foundation for largediameter offshore wind turbine support structures based on in-situ measured small-strain soil response and 3D modelling'. Together they form a unique fingerprint.

Cite this