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Behavior of Laterally Loaded Piles: Effects of Soil and Interface Behaviors on P-Y Curves
Ahayan, Sanae; Panagiotis, Kotronis; Benjamin, Cerfontaine et al.
2018In Numerical methods in geotechnical engineering
Peer reviewed
 

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Keywords :
Monopiles; Offshore; p-y curve
Abstract :
[en] Monopiles have been by far the most common support structure for offshore turbines. They have always been an appropriate solution for complex site conditions. Design of monopiles is usually based on the use of nonlinear p-y curve. These curves are primordially based on the use of simple constitutive models for soil, such as Tresca criterion. Since soil behavior is highly non-linear and very complex, fundamental features of soil such as anisotropy, creep, or destructuration have to be taken into consideration. Accordingly, it is necessary to consider more complex soil behavior constitutive models. This work aims to explain, via FEM simulations, the influence of different constitutive laws for soil, on the laterally loaded pile responses. Tresca, Mohr-Coulomb criteria and Modified Cam-Clay model have been compared and their effect on p-y curve is analyzed.
Disciplines :
Civil engineering
Author, co-author :
Ahayan, Sanae ;  Université de Liège - ULiège > Département ArGEnCo > Géotechnique
Panagiotis, Kotronis;  Ecole Centrale de Nantes > GeM
Benjamin, Cerfontaine;  University of Dundee
Collin, Frédéric  ;  Université de Liège - ULiège > Département ArGEnCo > Géotechnique
Language :
English
Title :
Behavior of Laterally Loaded Piles: Effects of Soil and Interface Behaviors on P-Y Curves
Publication date :
27 June 2018
Event name :
NUMGE
Event organizer :
University of Porto
Event place :
Porto, Portugal
Event date :
du 25 au 27 Juin 2018
Audience :
International
Main work title :
Numerical methods in geotechnical engineering
Publisher :
2018 Taylor & Francis Group, London, United Kingdom
ISBN/EAN :
978-1-138-33203-4
Collection name :
Numerical Methods in Geotechnical Engineering IX
Pages :
1511-1518
Peer reviewed :
Peer reviewed
Name of the research project :
ULiège - Université de Liège
Funders :
FRIA - Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture [BE]
Available on ORBi :
since 02 July 2018

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