Skip to main navigation Skip to search Skip to main content

Optimierung des Managements der Tragwerksintegrität für Offshore-Windenergieanlagen

Translated title of the contribution: Optimisation of the structural integrity management for offshore wind turbines
  • Sebastian Thoens
  • , Michael Havbro Faber
  • , Werner Ruecker

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Optimisation of the structural integrity management for offshore wind turbines This paper contains recent research results in the field of monitoring supported structural integrity management. The structural integrity management aims at ensuring the functioning of a structure throughout the life cycle by compliance with the target reliabilities. Building upon research results concerning the characteristics of monitoring techniques and data within the framework of reliability analyses, an approach is introduced for the optimisation of the expected structural integrity management costs by monitoring information. For this aim, a life cycle cost benefit analysis for offshore wind turbine support structures is formulated. The optimal monitoring decision parameters are then assessed utilizing the Bayesian preposterior decision theory. As a case study a monitoring system for a Multibrid M5000 offshore wind turbine prototype support structure is designed and possible reductions of the risks and expected costs are quantified.
    Translated title of the contributionOptimisation of the structural integrity management for offshore wind turbines
    Original languageGerman
    JournalBautechnik
    Volume89
    Issue number8
    Pages (from-to)525-532
    ISSN0932-8351
    DOIs
    Publication statusPublished - 2012

    Keywords

    • Structural integrity management
    • Measurement uncertainty
    • Structural Reliability
    • Bayesian updating
    • Cost-benefit analysis
    • Life cycle

    Fingerprint

    Dive into the research topics of 'Optimisation of the structural integrity management for offshore wind turbines'. Together they form a unique fingerprint.

    Cite this