Abstract
This work illustrates the updating and incorporation of information in the assessment of fatigue reliability for offshore wind turbine. The new information, coming from external and condition monitoring can be used to direct updating of the stochastic variables through a non-parametric Bayesian updating approach and be integrated in the reliability analysis by a third-order polynomial chaos expansion approximation. Although Classical Bayesian updating approaches are often used because of its parametric formulation, non-parametric approaches are better alternatives for multi-parametric updating with a non-conjugating formulation. The results in this paper show the influence on the time dependent updated reliability when non-parametric and classical Bayesian approaches are used. Further, the influence on the reliability of the number of updated parameters is illustrated.
| Original language | English |
|---|---|
| Title of host publication | ICASP11 : Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering : Zurich, Switzerland, 1 - 4 August 2011 |
| Editors | Michael H. Faber, Koehler Jochen, Kazuyoshi Nishijima |
| Number of pages | 9 |
| Publisher | CRC Press |
| Publication date | 2011 |
| Pages | 1256-1264 |
| ISBN (Print) | 978-0-415-66986-3 |
| Publication status | Published - 2011 |
| Event | The 11th International Conference on Applications of Statistics and Probability in Civil Engineering - Zürich, Switzerland Duration: 1 Aug 2011 → 4 Aug 2011 |
Conference
| Conference | The 11th International Conference on Applications of Statistics and Probability in Civil Engineering |
|---|---|
| Country/Territory | Switzerland |
| City | Zürich |
| Period | 01/08/2011 → 04/08/2011 |
Keywords
- Offshore Wind Turbines (OWT)
- Fatigue Reliability
- Bayesian Updating Approaches
- Non-parametric Bayesian Updating Approaches