Fatigue life prediction for a vessel sailing the North Atlantic route

Baxevani, Anastassia,1969Lund University,Lunds universitet,Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematisk statistik,Department of Mathematical Sciences, Mathematical Statistics,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH,University of Gothenburg,Chalmers tekniska högskola,Chalmers University of Technology (författare)

A method for calculating the wave load induced fatigue damage accumulated by a vessel sailing along the North Atlantic route (NAr) is presented. This method is based on the Palmgren-Miner additive rule and the rainflow cycle (RFC) count. For simplicity, the load the vessel experiences is assumed to be proportional to the encountered significant wave height process, $H_s$. The asymptotically normal character of the nominal damage is proved and used to derive the probability distribution of the fatigue life prediction. The proposed method improves the already existing ones by making use of the information contained in the variance of the fatigue damage accumulated during the voyages. The method is illustrated through numerical examples.

Rychlik, Igor,1952Lund University,Lunds universitet,Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematisk statistik,Department of Mathematical Sciences, Mathematical Statistics,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH,University of Gothenburg,Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)rychlik (författare)
Göteborgs universitetInstitutionen för matematiska vetenskaper, matematisk statistik (creator_code:org_t)

Ingår i:Probabilistic Engineering Mechanics: Elsevier BV22:2, s. 159-169
Ingår i:Probabilistic Engineering Mechanics: Elsevier BV22:2, s. 159-1690266-8920

Om ämnet

Av lärosätet: Göteborgs universitet; Lunds universitet; Chalmers tekniska högskola

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