Time domain simulation of jack-up dynamics with the extremes of a Gaussian process

Paul H. Taylor; Philip Jonathan; Leon A. Harland

Time domain simulation of jack-up dynamics with the extremes of a Gaussian process

Paul H. Taylor^*, Philip Jonathan, Leon A. Harland

^*Corresponding author for this work

Royal Dutch Shell PLC

Research output: Contribution to conference › Conference paper (not formally published) › peer-review

Abstract

Random simulations are often used to simulate the statistics of storm-driven waves. Work on Gaussian linear random signals has lead to a method for embedding a large wave into a random sequence in such a way that the composite signal is virtually indistinguishable from a purely random occurrence of a large wave. We demonstrate that this idea can be used to estimate the extreme response of a jack-up in a severe sea-state in a robust and efficient manner. Results are in good agreement with those obtained from a full random time-domain simulation.

Original language	English
Pages	313-319
Number of pages	7
Publication status	Published - 1995
Externally published	Yes
Event	Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering. Part 5 (of 5) - Copenhagen, Den Duration: 18 Jun 1995 → 22 Jun 1995

Conference

Conference	Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering. Part 5 (of 5)
City	Copenhagen, Den
Period	18/06/95 → 22/06/95

ASJC Scopus subject areas

Ocean Engineering
Energy Engineering and Power Technology
Mechanical Engineering

Cite this

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title = "Time domain simulation of jack-up dynamics with the extremes of a Gaussian process",

abstract = "Random simulations are often used to simulate the statistics of storm-driven waves. Work on Gaussian linear random signals has lead to a method for embedding a large wave into a random sequence in such a way that the composite signal is virtually indistinguishable from a purely random occurrence of a large wave. We demonstrate that this idea can be used to estimate the extreme response of a jack-up in a severe sea-state in a robust and efficient manner. Results are in good agreement with those obtained from a full random time-domain simulation.",

author = "Taylor, {Paul H.} and Philip Jonathan and Harland, {Leon A.}",

year = "1995",

language = "English",

pages = "313--319",

note = "Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering. Part 5 (of 5) ; Conference date: 18-06-1995 Through 22-06-1995",

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Time domain simulation of jack-up dynamics with the extremes of a Gaussian process. / Taylor, Paul H.; Jonathan, Philip; Harland, Leon A.
1995. 313-319 Paper presented at Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering. Part 5 (of 5), Copenhagen, Den.

Research output: Contribution to conference › Conference paper (not formally published) › peer-review

TY - CONF

T1 - Time domain simulation of jack-up dynamics with the extremes of a Gaussian process

AU - Taylor, Paul H.

AU - Jonathan, Philip

AU - Harland, Leon A.

PY - 1995

Y1 - 1995

N2 - Random simulations are often used to simulate the statistics of storm-driven waves. Work on Gaussian linear random signals has lead to a method for embedding a large wave into a random sequence in such a way that the composite signal is virtually indistinguishable from a purely random occurrence of a large wave. We demonstrate that this idea can be used to estimate the extreme response of a jack-up in a severe sea-state in a robust and efficient manner. Results are in good agreement with those obtained from a full random time-domain simulation.

AB - Random simulations are often used to simulate the statistics of storm-driven waves. Work on Gaussian linear random signals has lead to a method for embedding a large wave into a random sequence in such a way that the composite signal is virtually indistinguishable from a purely random occurrence of a large wave. We demonstrate that this idea can be used to estimate the extreme response of a jack-up in a severe sea-state in a robust and efficient manner. Results are in good agreement with those obtained from a full random time-domain simulation.

UR - http://www.scopus.com/inward/record.url?scp=0029215697&partnerID=8YFLogxK

M3 - Conference paper (not formally published)

AN - SCOPUS:0029215697

SP - 313

EP - 319

T2 - Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering. Part 5 (of 5)

Y2 - 18 June 1995 through 22 June 1995

ER -

Time domain simulation of jack-up dynamics with the extremes of a Gaussian process

Abstract

Conference

ASJC Scopus subject areas

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