Probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling method

The mechanical responses of an offshore monopile foundation mounted in over-consolidated clay are calculated by employing a stochastic approach where a nonlinear p–y curve is incorporated with a finite element scheme. The random field theory is applied to represent a spatial variation for undrained...

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Main Authors:	Mohammad Javad Vahdatirad, Mehdi Bayat, Lars Vabbersgaard Andersen, Lars Bo Ibsen
Format:	Article
Language:	English
Published:	Vilnius Gediminas Technical University 2015-03-01
Series:	Journal of Civil Engineering and Management
Subjects:	offshore wind turbines monopile asymptotic sampling finite element method random field stochastic analysis
Online Access:	http://journals.vgtu.lt/index.php/JCEM/article/view/2955

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spelling	doaj-17a24be9164a428493aa6c21b0150f202021-07-02T17:31:54ZengVilnius Gediminas Technical UniversityJournal of Civil Engineering and Management1392-37301822-36052015-03-0121410.3846/13923730.2014.890660Probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling methodMohammad Javad Vahdatirad0Mehdi Bayat1Lars Vabbersgaard Andersen2Lars Bo Ibsen3Department of Civil Engineering, Aalborg University, Sofiendalsvej 9, 9200 Aalborg, DenmarkDepartment of Civil Engineering, Aalborg University, Sofiendalsvej 9, 9200 Aalborg, DenmarkDepartment of Civil Engineering, Aalborg University, Sofiendalsvej 9, 9200 Aalborg, DenmarkDepartment of Civil Engineering, Aalborg University, Sofiendalsvej 9, 9200 Aalborg, Denmark The mechanical responses of an offshore monopile foundation mounted in over-consolidated clay are calculated by employing a stochastic approach where a nonlinear p–y curve is incorporated with a finite element scheme. The random field theory is applied to represent a spatial variation for undrained shear strength of clay. Normal and Sobol sampling are employed to provide the asymptotic sampling method to generate the probability distribution of the foundation stiffnesses. Monte Carlo simulation is used as a benchmark. Asymptotic sampling accompanied with Sobol quasi random sampling demonstrates an efficient method for estimating the probability distribution of stiffnesses for the offshore monopile foundation. http://journals.vgtu.lt/index.php/JCEM/article/view/2955offshore wind turbinesmonopileasymptotic samplingfinite element methodrandom fieldstochastic analysis
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Mohammad Javad Vahdatirad Mehdi Bayat Lars Vabbersgaard Andersen Lars Bo Ibsen
spellingShingle	Mohammad Javad Vahdatirad Mehdi Bayat Lars Vabbersgaard Andersen Lars Bo Ibsen Probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling method Journal of Civil Engineering and Management offshore wind turbines monopile asymptotic sampling finite element method random field stochastic analysis
author_facet	Mohammad Javad Vahdatirad Mehdi Bayat Lars Vabbersgaard Andersen Lars Bo Ibsen
author_sort	Mohammad Javad Vahdatirad
title	Probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling method
title_short	Probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling method
title_full	Probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling method
title_fullStr	Probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling method
title_full_unstemmed	Probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling method
title_sort	probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling method
publisher	Vilnius Gediminas Technical University
series	Journal of Civil Engineering and Management
issn	1392-3730 1822-3605
publishDate	2015-03-01
description	The mechanical responses of an offshore monopile foundation mounted in over-consolidated clay are calculated by employing a stochastic approach where a nonlinear p–y curve is incorporated with a finite element scheme. The random field theory is applied to represent a spatial variation for undrained shear strength of clay. Normal and Sobol sampling are employed to provide the asymptotic sampling method to generate the probability distribution of the foundation stiffnesses. Monte Carlo simulation is used as a benchmark. Asymptotic sampling accompanied with Sobol quasi random sampling demonstrates an efficient method for estimating the probability distribution of stiffnesses for the offshore monopile foundation.
topic	offshore wind turbines monopile asymptotic sampling finite element method random field stochastic analysis
url	http://journals.vgtu.lt/index.php/JCEM/article/view/2955
work_keys_str_mv	AT mohammadjavadvahdatirad probabilisticfiniteelementstiffnessofalaterallyloadedmonopilebasedonanimprovedasymptoticsamplingmethod AT mehdibayat probabilisticfiniteelementstiffnessofalaterallyloadedmonopilebasedonanimprovedasymptoticsamplingmethod AT larsvabbersgaardandersen probabilisticfiniteelementstiffnessofalaterallyloadedmonopilebasedonanimprovedasymptoticsamplingmethod AT larsboibsen probabilisticfiniteelementstiffnessofalaterallyloadedmonopilebasedonanimprovedasymptoticsamplingmethod
_version_	1721325320086224896

Probabilistic finite element stiffness of a laterally loaded monopile based on an improved asymptotic sampling method

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