rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Multi-hazard Reliability Assessment of Offshore Wind Turbines
  name:
    name part: Mardfekri Rastehkenari, Maryam
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Gardoni, Paolo
    role:
      role term: thesis advisor.
  name:
    name part: Niedzwecki, John
    role:
      role term: thesis advisor.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (154 pages)
  abstract: A probabilistic framework is developed to assess the structural reliability of offshore wind turbines. Probabilistic models are developed to predict the deformation, shear force and bending moment demands on the support structure of wind turbines. The proposed probabilistic models are developed starting from a commonly accepted deterministic model and by adding correction terms and model errors to capture respectively, the inherent bias and the uncertainty in developed models. A Bayesian approach is then used to assess the model parameters incorporating the information from virtual experiment data. The database of virtual experiments is generated using detailed three-dimensional finite element analyses of a suite of typical offshore wind turbines. The finite element analyses properly account for the nonlinear soil-structure interaction. Separate probabilistic demand models are developed for three operational/load conditions including: (1) operating under day-to-day wind and wave loading; (2) operating throughout earthquake in presence of day-to-day loads; and (3) parked under extreme wind speeds and earthquake ground motions. The proposed approach gives special attention to the treatment of both aleatory and epistemic uncertainties in predicting the demands on the support structure of wind turbines. The developed demand models are then used to assess the reliability of the support structure of wind turbines based on the proposed damage states for typical wind turbines and their corresponding performance levels. A multi-hazard fragility surface of a given wind turbine support structure as well as the seismic and wind hazards at a specific site location are incorporated into a probabilistic framework to estimate the annual probability of failure of the support structure. Finally, a framework is proposed to investigate the performance of offshore wind turbines operating under day-to-day loads based on their availability for power production. To this end, probabilistic …
  note: by Maryam Mardfekri Rastehkenari.
  note: "Major Subject: Civil Engineering"
  note: Includes vita.
  note: Doctor of Philosophy Texas A & M University 2012 http://hdl.handle.net/1969.1/148290
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Civil Engineering
  subject:
    topic: Fragility
  subject:
    topic: Soil-structure interaction
  subject:
    topic: Probabilistic models
  subject:
    topic: Multi-hazard assessment
  subject:
    topic: Wind turbines
  subject:
    topic: Structural reliability
  identifier: http://hdl.handle.net/1969.1/148290
  record info:
    record content source: TXA
    record creation date: 140110
    record change date: 20151206090922.0
    record identifier: in00003428140
    language of cataloging:
      language term: eng