An Improved Asymptotic Sampling Approach For Stochastic Finite Element Stiffness of a Laterally Loaded Monopile

Mohammadjavad Vahdatirad, Mehdi Bayat, Lars Vabbersgaard Andersen, Lars Bo Ibsen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

In this study a stochastic approach is conducted to obtain the horizontal and rotational stiffness of an offshore monopile foundation. A nonlinear stochastic p-y curve is integrated into a finite element scheme for calculation of the monopile response in over-consolidated clay having spatial undrained shear strength. The random field is applied to represent the spatial variation of the soil properties. Monte Carlo simulation associate with an improved asymptotic sampling using normal and sobol sampling is utilized to generate the probability distribution of the foundation stiffness. It is shown that asymptotic sampling associated with sobol quasi random sampling is an efficient method to estimation of probability distribution in presented problems.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Testing and Design Methods for Deep Foundations, Kanazawa, Japan
Number of pages9
PublisherSoutheast Asian Geotechnical Society
Publication date2012
Pages665-673
Publication statusPublished - 2012
EventIS-Kanazawa 2012: The 9th International Conference on Testing and Design Methods for Deep Foundations - Kanazawa, Japan
Duration: 18 Sept 201220 Sept 2012
Conference number: 9

Conference

ConferenceIS-Kanazawa 2012
Number9
Country/TerritoryJapan
CityKanazawa
Period18/09/201220/09/2012

Keywords

  • Wind Turbines
  • Foundations
  • Random Fields
  • Stochastic Analysis
  • Asymptotic Sampling
  • Finite Element Method

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