Metropolis-Hastings method for Wohler curve parameter identification

• Autorzy: Woch M. , Corbetta M. , Giglio M. , Sbarufatti C. , Kamiński G.
• Języki publikacji: EN

Abstrakty

EN

In this work, the Metropolis-Hastings sampling technique has been used for the parameter identification of Wohler curve of aluminium alloy 2024-T4. The Metropolis-Hasting algorithm is one of the most widespread Markov chain Monte Carlo methods for posterior distribution estimation, and it is presented with an adaptive formulation to estimate the probability density functions of Wohler parameters. Results are presented in terms of distribution shape and parameter correlations. The information about parameter distributions of Wohler equation is useful to prepare risk analyses based on statistical safe life approach.

Słowa kluczowe

EN

Wohler curve; Metropolis-Hastings; probabilistic fatigue

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2014
• Tom: Vol. 5, No. 2
• Strony: 143--150
• Opis fizyczny: Bibliogr. 12 poz., tab., wykr.

Twórcy

autor

Woch M.

• Air Force Institute of Technology, Warsaw, Poland

autor

Corbetta M.

• Politecnico di Milano, Milan, Italy

autor

Giglio M.

• Politecnico di Milano, Milan, Italy

autor

Sbarufatti C.

• Politecnico di Milano, Milan, Italy

autor

Kamiński G.

• Warsaw University of Technology, Warsaw, Poland

Bibliografia

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• [4] Corbetta, M., Sbarufatti, C., Manes, A. & Giglio, M. (2014). On Dynamic State-Space models for fatigue-induced structural degradation. Int J fatigue 61, 202-219.
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• [12] Sbarufatti, C. (2013). Fatigue crack monitoring of helicopter fuselages and life evaluation through sensor network Politecnico di Milano, Dipartimento di Meccanica, PhD thesis.