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Title: Spectral fatigue analysis of shallow water jacket platforms

Conference ·
OSTI ID:194730
;  [1];  [2]; ;  [3]
  1. University Coll., London (United Kingdom). Dept. of Mechanical Engineering
  2. WS Atkins Consultants Ltd., Epsom (United Kingdom)
  3. British Gas PLC, Newcastle upon Tyne (United Kingdom)

The spectral analysis approach is a very elegant and computationally efficient method of analyzing the fatigue life of offshore jacket platforms. The primary limitation of the approach is that it assumes linearity of both the structural system and the wave loading mechanism. The approach is now widely used for the analysis of deepwater, dynamically responsive platforms where non-linearities are usually not serious. The new approach provides a better method for choosing the appropriate height of each so called base wave case. This paper presents the results obtained using this new approach, as well as comparative results obtained using the deterministic, spectral and time domain approaches applied with a representative sea state. The results show that the deterministic-spectral method has a considerable amount of potential, especially for new design work where weight savings and/or increased confidence levels may be achieved.

OSTI ID:
194730
Report Number(s):
CONF-950695-; ISBN 0-7918-1307-X; TRN: IM9611%%232
Resource Relation:
Conference: International conference on offshore mechanics and arctic engineering, Copenhagen (Denmark), 18-22 Jun 1995; Other Information: PBD: 1995; Related Information: Is Part Of OMAE 1995 -- Proceedings of the 14. international conference on offshore mechanics and arctic engineering. Volume 1, Part B: Offshore technology; Chakrabarti, S.K. [ed.] [Chicago Bridge and Iron Technical Services, Plainfield, IL (United States)]; Gudmestad, O.T. [ed.] [Statoil, Stavanger (Norway)]; Sparks, C. [ed.] [Inst. Francais du Petrole, Rueil-Malmaison (France)]; Morrison, D.G. [ed.] [Shell E and P Technology Co., Houston, TX (United States)]; PB: 539 p.
Country of Publication:
United States
Language:
English