CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Sea state conditions for marine structures' analysis and model tests

E. M. Bitner-Gregersen ; S. Dong ; T. Fu ; N. Ma ; C. Maisondieu ; R. Miyake ; Igor Rychlik (Institutionen för matematiska vetenskaper, matematisk statistik)
Ocean Engineering (0029-8018). Vol. 119 (2016), p. 309-322.
[Artikel, refereegranskad vetenskaplig]

The study reviews, based on the state-of-the-art findings, some uncertainties associated with wave data and models currently used in design and operation procedures of ship and offshore structures. Although the same basic principles prevail for hydrodynamic loads on ships and offshore structures, actual problems and methods for assessing these loads in the design and operation stage are not the same. Different wave data and models are used for specifying design and operational criteria for these two types of platforms and different uncertainties are related to them. Wave data and models used to define sea state characteristics are discussed and particular attention is given to the associated sources of uncertainties. Some weaknesses of wave input used in design and operational procedures for marine structures are pointed out. Focus is also given on uncertainties related to model tests as tank testing is an important supporting tool for design and operation. Impact of some selected uncertainties on wave description and wave loads is demonstrated by examples. (c) 2016 Elsevier Ltd. All rights reserved.

Nyckelord: Uncertainties, Wave data and models, Design and operations of marine structures, significant wave height, generated gravity-waves, rogue waves, equilibrium range, coastal ocean, spectrum, ship, wind, band, probability, Engineering, Oceanography

Denna post skapades 2016-08-12. Senast ändrad 2016-08-19.
CPL Pubid: 240191


Läs direkt!

Länk till annan sajt (kan kräva inloggning)

Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, matematisk statistik (2005-2016)


Oceanografi, hydrologi, vattenresurser

Chalmers infrastruktur