Estimation of wave loading induced fatigue accumulation and extreme response of a container ship in severe seas
Paper in proceedings, 2010

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.

Laplace Moving Average

nonlinear hydrodynamic

100-year stress

extreme response

level up-crossing

narrow-band approximation

Fatigue

Author

Wengang Mao

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematical Statistics

Zhiyuan Li

Ship Design

Thomas Galtier

University of Gothenburg

Chalmers, Mathematical Sciences

Jonas Ringsberg

Ship Design

Igor Rychlik

Chalmers, Mathematical Sciences, Mathematical Statistics

University of Gothenburg

Proceedings of The ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2010)

OMAE2010-20125 (eISSN)

Vol. 2 133-141 OMAE2010-20125

The ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2010)
Shanghai, China,

Chalmers Area of Advance Transport – funding 2010

Chalmers, 2010-01-01 -- 2010-12-31.

Driving Forces

Sustainable development

Innovation and entrepreneurship

Areas of Advance

Transport

Roots

Basic sciences

Subject Categories

Vehicle Engineering

Probability Theory and Statistics

DOI

10.1115/OMAE2010-20125

More information

Latest update

10/11/2018