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Estimation of wave loading induced fatigue accumulation and extreme response of a container ship in severe seas

Wengang Mao (Institutionen för matematiska vetenskaper, matematisk statistik) ; Zhiyuan Li (Institutionen för sjöfart och marin teknik, Fartygsdesign) ; Thomas Galtier (Institutionen för matematiska vetenskaper) ; Jonas Ringsberg (Institutionen för sjöfart och marin teknik, Fartygsdesign) ; Igor Rychlik (Institutionen för matematiska vetenskaper, matematisk statistik)
Proceedings of the ASME 29th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2010) in Shanghai, China, June 6-11, 2010 Vol. 2 (2010), p. 133-141 (OMAE2010-20125).
[Konferensbidrag, refereegranskat]

The hydrodynamic analysis of a 4400 TEU container ship with constant forward speed is carried out by the nonlinear numerical code WASIM in the time domain under severe sea states. Straightforward fatigue estimation is performed using the rainflow counting approach based on simulated time series of stresses. The narrow-band approximation, which has been validated in previous work with good accuracy by full-scale measurement of a 2800 TEU container ship, is implemented to estimate the fatigue damage based on the same responses. It is concluded that a slight deviation from the Gaussian process does not influence the fatigue estimation by narrow-band approximation. In addition, extreme response is defined by the level up-crossing approach. The Gaussian crossing model using Rice’s formula is employed to predict the extreme response based on the responses from above numerical analysis. It shows that the Gaussian model is not suitable for this prediction. A more complicated level crossing model is proposed which is based on the Laplace Moving Average method. Its accuracy in prediction of extreme responses is analyzed and presented with good agreement by means of numerical simulations.

Nyckelord: Fatigue, nonlinear hydrodynamic, narrow-band approximation, level up-crossing, Laplace Moving Average, extreme response, 100-year stress



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Denna post skapades 2010-06-10. Senast ändrad 2017-06-28.
CPL Pubid: 122546

 

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Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, matematisk statistik (2005-2016)
Institutionen för sjöfart och marin teknik, Fartygsdesign (2007-2011)
Institutionen för matematiska vetenskaperInstitutionen för matematiska vetenskaper (GU)

Ämnesområden

Transport
Hållbar utveckling
Innovation och entreprenörskap (nyttiggörande)
Matematisk statistik
Farkostteknik

Chalmers infrastruktur