Application of a ship-routeing fatigue model to case studies of 2800 TEU and 4400 TEU container vessels
Artikel i vetenskaplig tidskrift, 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

fatigue

ship routeing

Författare

Wengang Mao

Chalmers, Sjöfart och marin teknik, Marine Design

Zhiyuan Li

Chalmers, Sjöfart och marin teknik, Marine Design

Jonas Ringsberg

Chalmers, Sjöfart och marin teknik, Marine Design

Igor Rychlik

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematisk statistik

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

1475-0902 (ISSN) 20413084 (eISSN)

Vol. 226 3 222-234

Chalmers styrkeområde Transport – finansiering 2012

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

Drivkrafter

Hållbar utveckling

Innovation och entreprenörskap

Styrkeområden

Transport

Materialvetenskap

Fundament

Grundläggande vetenskaper

Ämneskategorier

Tillförlitlighets- och kvalitetsteknik

Farkostteknik

Sannolikhetsteori och statistik

DOI

10.1177/1475090212436606

Mer information

Senast uppdaterat

2018-10-11