Extreme value analysis of the structural response of a single point moored vessel

Underwater Technology

Volumn 22, Issue 3, 1997, Pages 87-93

  Bowers, J ^a   Morton, I ^a   Mould, G ^a  

^a UNIVERSITY OF STIRLING   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC RESPONSE; MATHEMATICAL MODELS; SINGLE POINT MOORING; STATISTICAL METHODS; STRUCTURAL ANALYSIS; WATER WAVE EFFECTS;

EXTREME VALUE ANALYSIS; STRUCTURE VARIABLE APPROACH;

OFFSHORE STRUCTURES;

MOORING SYSTEMS-SINGLE POINT; VESSELS;

EID: 0031171510     PISSN: 01410814     EISSN: None     Source Type: Journal    
DOI: 10.3723/175605497783258986     Document Type: Article

References (16)

1. Department of Energy 1990. Offshore installations: guidance on design, construction and certification. HMSO, London.
2. Miller, N.S., & Wilson, P.M., 1993. The design wave conditions for determining wave drift forces on moored ships an semi-submersibles. Behaviour of Offshore Structures, Imperial College, London.
3. Yilmaz, O. & Incecik, A. Effect of environmental and geometrical characteristics in the design of a moored floating platform, in Integrity of Offshore Structures-5, EMAS Scientific Publishing, London.
4. Nielsen, J.B., Grant, C.K. & Webb, R.M., 1986. Investigation of the importance of joint probability and the directionality of environmental data for platform design. Proc. of 18th Offshore Technology Conf., Houston, Texas, pp. 499-504.
5. Prior-Jones, R.L. & Beiboer, F.L., 1990. Use of joint probability in deriving environmental design criteria, In: Advances in Underwater Technology, Ocean Science and Offshore Engineering conference proceedings series, Vol. 26, Environmental Forces on Offshore Structures and their Prediction, pp. 3-22, Society for Underwater Technology, London.
6. Coles, S.G. & Tawn, J.A., 1994. Statistical methods for multivariate extremes: an application to structural design. Applied Statistics, 43(1), pp. 1-48.
7. Joe, H., 1994. Multivariate extreme-value distributions with applications to environmental data. Canadian Journal of Statistics, 22,(1), pp. 47-64.
8. Joe, H., Smith, R.L. & Weissman, I., 1992. Bivariate threshold methods for extremes. J. of the Royal Statistical Society Series B, 54(1), pp. 171-183.
9. Forristall, G.Z., Larrabee, R.D. & Mercier, R.S., 1991. Combined oceanographic criteria for deep-water structures in the Gulf of Mexico. Proc. of 23rd Offshore Technology Conf., Houston, Texas, pp. 377-390.
10. Ochi, M.K., 1993. On hurricane-generated seas. 2nd Int Symposium on Ocean Wave Measurement and Analysis.
11. Cavine, A., 1985. Joint occurrence of extreme wave heights and wind gusts during severe storms on the Frigg field. E&P Forum on the Joint Probability of Metocean Phenomena in the Oil Industry's Structural Design Work, London.
12. Marshall, P., Rezvan, M. & Gunatunga, A., 1995. Response based design criteria for West of Shetlands. Offshore Technology, May, pp. 42-45.
13. Wen, Y.K. & Banon, H., 1991. Development of environmental combination design criteria for fixed platforms in the Gulf of Mexico. Proc. of Offshore Technology Conf., pp. 365-375.
14. Press, W.H., Flannery, B.P., Teukolsky, S.A. & Vetterling, W.T., 1989. Numerical Recipes in Pascal: The Art of Scientiflc Computing, Cambridge University Press, Cambridge, 759 pp.
15. Shaw, E.M., 1983. Hydrology in Practice, van Nostrand Reinhold, Wokingham, England, 569 pp.
16. Tawn, J.A., 1988. An extreme-value theory model for dependent observations. J. of Hydrology, 101, pp. 227-250.