Non-Parametric Bayesian Updating within the Assessment of Reliability for Offshore Wind Turbine Support Structures

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Resumé

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.
OriginalsprogEngelsk
TitelICASP11 : Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering : Zurich, Switzerland, 1 - 4 August 2011
RedaktørerMichael H. Faber, Koehler Jochen, Kazuyoshi Nishijima
Antal sider9
ForlagCRC Press
Publikationsdato2011
Sider1256-1264
ISBN (Trykt)978-0-415-66986-3
StatusUdgivet - 2011
BegivenhedThe 11th International Conference on Applications of Statistics and Probability in Civil Engineering - Zürich, Schweiz
Varighed: 1 aug. 20114 aug. 2011

Konference

KonferenceThe 11th International Conference on Applications of Statistics and Probability in Civil Engineering
LandSchweiz
ByZürich
Periode01/08/201104/08/2011

Fingerprint

Offshore wind turbines
Condition monitoring
Reliability analysis
Chaos theory
Polynomials
Fatigue of materials

Emneord

  • Offshore Wind Turbines (OWT)
  • Fatigue Reliability
  • Bayesian Updating Approaches
  • Non-parametric Bayesian Updating Approaches

Citer dette

Ramirez, J. R., & Sørensen, J. D. (2011). Non-Parametric Bayesian Updating within the Assessment of Reliability for Offshore Wind Turbine Support Structures. I M. H. Faber, K. Jochen, & K. Nishijima (red.), ICASP11 : Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering: Zurich, Switzerland, 1 - 4 August 2011 (s. 1256-1264). CRC Press.
Ramirez, José Rangel ; Sørensen, John Dalsgaard. / Non-Parametric Bayesian Updating within the Assessment of Reliability for Offshore Wind Turbine Support Structures. ICASP11 : Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering: Zurich, Switzerland, 1 - 4 August 2011. red. / Michael H. Faber ; Koehler Jochen ; Kazuyoshi Nishijima. CRC Press, 2011. s. 1256-1264
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title = "Non-Parametric Bayesian Updating within the Assessment of Reliability for Offshore Wind Turbine Support Structures",
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.",
keywords = "Offshore Wind Turbines (OWT), Fatigue Reliability, Bayesian Updating Approaches, Non-parametric Bayesian Updating Approaches, Offshore Wind Turbines (OWT), Fatigue Reliability, Bayesian Updating Approaches, Non-parametric Bayesian Updating Approaches",
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Ramirez, JR & Sørensen, JD 2011, Non-Parametric Bayesian Updating within the Assessment of Reliability for Offshore Wind Turbine Support Structures. i MH Faber, K Jochen & K Nishijima (red), ICASP11 : Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering: Zurich, Switzerland, 1 - 4 August 2011. CRC Press, s. 1256-1264, Zürich, Schweiz, 01/08/2011.

Non-Parametric Bayesian Updating within the Assessment of Reliability for Offshore Wind Turbine Support Structures. / Ramirez, José Rangel; Sørensen, John Dalsgaard.

ICASP11 : Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering: Zurich, Switzerland, 1 - 4 August 2011. red. / Michael H. Faber; Koehler Jochen; Kazuyoshi Nishijima. CRC Press, 2011. s. 1256-1264.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AU - Sørensen, John Dalsgaard

PY - 2011

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N2 - 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.

AB - 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.

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BT - ICASP11 : Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering

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Ramirez JR, Sørensen JD. Non-Parametric Bayesian Updating within the Assessment of Reliability for Offshore Wind Turbine Support Structures. I Faber MH, Jochen K, Nishijima K, red., ICASP11 : Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering: Zurich, Switzerland, 1 - 4 August 2011. CRC Press. 2011. s. 1256-1264