Bayesian estimation of small-strain shear modulus from offshore CPT tests in the North Sea

Bruno Stuyts, Carlos Sastre Jurado, Diego Gomez Bautista , Anis Kheffache

Onderzoeksoutput: Conference paper

Samenvatting

The rapid expansion of offshore wind energy requires accurate and cost-effective site characterisation. The dynamic response of offshore wind turbine structures installed on monopile foundations strongly depends on the stiffness of the subsoil where the small-strain shear modulus governs the behaviour during operational loading. Direct measurement of the small-strain shear modulus with the seismic CPT (S-PCPT) is increasingly performed offshore. However, the additional cost associated with this test leads to incomplete data coverage. In the past, correlations between cone tip resistance and small-strain shear modulus have been developed for onshore conditions. The increasing availability of offshore site data has allowed a unique dataset of over 2000 small-strain shear modulus measurements from S-PCPT to be created for North Sea soil units. The comparison of the small-strain shear modulus inferred from the S-PCPT data to the corresponding cone tip resistance allows recalibration of the existing correlations. This paper proposes a Bayesian approach to update the correlation model for sands proposed in the literature based on the developed dataset for offshore conditions in the North Sea.
Originele taal-2English
TitelCone Penetration Testing 2022 - Proceedings of the 5th International Symposium on Cone Penetration Testing, CPT 2022
RedacteurenGuido Gottardi, Laura Tonni
UitgeverijCRC Press
Pagina's722-727
Aantal pagina's6
ISBN van elektronische versie9781003308829
ISBN van geprinte versie9781032312590
DOI's
StatusPublished - 24 jun 2022
EvenementCPT'22 Bologna: 5th International Symposium on Cone Penetration Testing - , Italy
Duur: 8 jun 202210 jun 2022
https://cpt22.org/

Publicatie series

NaamCone Penetration Testing 2022 - Proceedings of the 5th International Symposium on Cone Penetration Testing, CPT 2022

Conference

ConferenceCPT'22 Bologna
Verkorte titelCPT'22
Land/RegioItaly
Periode8/06/2210/06/22
Internet adres

Bibliografische nota

Funding Information:
The authors would like to acknowledge the support of the Belgian Ministry of Economic Affairs through the ETF project WINDSOIL project. The support of VLAIO through the De Blauwe Cluster SBO SOILTWIN project is also acknowledged.

Funding Information:
The authors would like to acknowledge the support of the Belgian Ministry of Economic Affairs through the ETF project WINDSOIL project. The support of VLAIO through the De Blauwe Cluster SBO SOILT­ WIN project is also acknowledged. The geotechnical data from the Dutch offshore wind farms (RVO.nl) was used under a Creative Commons license.

Publisher Copyright:
© 2022 the Author(s).

Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.

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