Geotechnical installation design of suction buckets in non-cohesive soils: A reliability-based approach

Joost Remmers, Cormac Reale, Federico Pisano, Sylvie Raymackers, Kenneth Gavin

Research output: Contribution to journalArticle

Abstract

This study presents a probabilistic analyses of suction bucket installation in cohesionless soils. The spatial variability of soil properties is quantified using a representative survey dataset from practice. Vertical random field modelling is used to model cone resistance variability and probability density functions are fitted using drained parameter estimates. Conventional installation analysis methods are adapted for layered soil deposits. The effect of varying permeability is included through the incorporation of a finite element seepage model. Parametric uncertainties are considered through a Monte Carlo analysis and the results are interrogated through a variety of feasibility and sensitivity studies. Performing such an analysis allows a designer to gain insights into governing failure mechanisms and objectively quantify the impact of uncertainty regarding parameter estimates.
Original languageEnglish
Article number106242
Number of pages13
JournalOcean Engineering
Volume188
Early online date13 Aug 2019
DOIs
Publication statusPublished - 15 Sep 2019

Cite this

Geotechnical installation design of suction buckets in non-cohesive soils: A reliability-based approach. / Remmers, Joost; Reale, Cormac; Federico Pisano; Raymackers, Sylvie; Kenneth Gavin.

In: Ocean Engineering, Vol. 188, 106242, 15.09.2019.

Research output: Contribution to journalArticle

Remmers, Joost ; Reale, Cormac ; Federico Pisano ; Raymackers, Sylvie ; Kenneth Gavin. / Geotechnical installation design of suction buckets in non-cohesive soils: A reliability-based approach. In: Ocean Engineering. 2019 ; Vol. 188.
@article{d96db608d3bd448eac8be9cea1ee0f3a,
title = "Geotechnical installation design of suction buckets in non-cohesive soils: A reliability-based approach",
abstract = "This study presents a probabilistic analyses of suction bucket installation in cohesionless soils. The spatial variability of soil properties is quantified using a representative survey dataset from practice. Vertical random field modelling is used to model cone resistance variability and probability density functions are fitted using drained parameter estimates. Conventional installation analysis methods are adapted for layered soil deposits. The effect of varying permeability is included through the incorporation of a finite element seepage model. Parametric uncertainties are considered through a Monte Carlo analysis and the results are interrogated through a variety of feasibility and sensitivity studies. Performing such an analysis allows a designer to gain insights into governing failure mechanisms and objectively quantify the impact of uncertainty regarding parameter estimates.",
author = "Joost Remmers and Cormac Reale and {Federico Pisano} and Sylvie Raymackers and {Kenneth Gavin}",
year = "2019",
month = "9",
day = "15",
doi = "10.1016/j.oceaneng.2019.106242",
language = "English",
volume = "188",
journal = "Ocean Engineering",
issn = "0029-8018",
publisher = "Elsevier",

}

TY - JOUR

T1 - Geotechnical installation design of suction buckets in non-cohesive soils: A reliability-based approach

AU - Remmers, Joost

AU - Reale, Cormac

AU - Federico Pisano

AU - Raymackers, Sylvie

AU - Kenneth Gavin

PY - 2019/9/15

Y1 - 2019/9/15

N2 - This study presents a probabilistic analyses of suction bucket installation in cohesionless soils. The spatial variability of soil properties is quantified using a representative survey dataset from practice. Vertical random field modelling is used to model cone resistance variability and probability density functions are fitted using drained parameter estimates. Conventional installation analysis methods are adapted for layered soil deposits. The effect of varying permeability is included through the incorporation of a finite element seepage model. Parametric uncertainties are considered through a Monte Carlo analysis and the results are interrogated through a variety of feasibility and sensitivity studies. Performing such an analysis allows a designer to gain insights into governing failure mechanisms and objectively quantify the impact of uncertainty regarding parameter estimates.

AB - This study presents a probabilistic analyses of suction bucket installation in cohesionless soils. The spatial variability of soil properties is quantified using a representative survey dataset from practice. Vertical random field modelling is used to model cone resistance variability and probability density functions are fitted using drained parameter estimates. Conventional installation analysis methods are adapted for layered soil deposits. The effect of varying permeability is included through the incorporation of a finite element seepage model. Parametric uncertainties are considered through a Monte Carlo analysis and the results are interrogated through a variety of feasibility and sensitivity studies. Performing such an analysis allows a designer to gain insights into governing failure mechanisms and objectively quantify the impact of uncertainty regarding parameter estimates.

U2 - 10.1016/j.oceaneng.2019.106242

DO - 10.1016/j.oceaneng.2019.106242

M3 - Article

VL - 188

JO - Ocean Engineering

JF - Ocean Engineering

SN - 0029-8018

M1 - 106242

ER -