Application of a ship-routeing fatigue model to case studies of 2800 TEU and 4400 TEU container vessels
Journal article, 2012

Ship structures will always be subjected to and suffer from fatigue damage and fracture. However, we can become better at utilising the materials and the structures and operating them more wisely, leading to less maintenance, extended service life, and enhanced safety. In this study, a fatigue model useful for ship routeing is presented. Similar to ship routeing design for ETA and fuel reduction, the objective here is to demonstrate the possibility and benefits of ship route planning leading to a reduction of fatigue damage accumulation. In the context of ship fatigue route planning, uncertainty analysis in fatigue assessments of container ships is discussed. The proposed ship routing fatigue model is employed by case studies on two container vessels to illustrate the possible benefits to the fatigue safety of ship structures. Sea environments in the application are obtained from hindcast wave data and a spatio-temporal wave model. The results show that the fatigue damage of the studied container ship structures can be decreased by more than 50% if the awareness and knowledge of ship fatigue route planning is employed.

container vessels


ship routeing


Wengang Mao

Chalmers, Shipping and Marine Technology, Division of Marine Design

Zhiyuan Li

Chalmers, Shipping and Marine Technology, Division of Marine Design

Jonas Ringsberg

Chalmers, Shipping and Marine Technology, Division of Marine Design

Igor Rychlik

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematical Statistics

Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment

1475-0902 (ISSN)

Vol. 226 3 222-234

Chalmers Area of Advance Transport – funding 2012

Chalmers, 2012-01-01 -- 2012-12-31.

Driving Forces

Sustainable development

Innovation and entrepreneurship

Areas of Advance


Materials Science


Basic sciences

Subject Categories

Reliability and Maintenance

Vehicle Engineering

Probability Theory and Statistics



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