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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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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.
In: Journal of Vibration and Acoustics, Vol. 119, No. 4, 1995, p. 624-628.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Taylor, PH, Jonathan, P & Harland, LA 1995, 'Time domain simulation of jack-up dynamics with the extremes of a Gaussian process', Journal of Vibration and Acoustics, vol. 119, no. 4, pp. 624-628. https://doi.org/10.1115/1.2889772

APA

Taylor, P. H., Jonathan, P., & Harland, L. A. (1995). Time domain simulation of jack-up dynamics with the extremes of a Gaussian process. Journal of Vibration and Acoustics, 119(4), 624-628. https://doi.org/10.1115/1.2889772

Vancouver

Taylor PH, Jonathan P, Harland LA. Time domain simulation of jack-up dynamics with the extremes of a Gaussian process. Journal of Vibration and Acoustics. 1995;119(4):624-628. doi: 10.1115/1.2889772

Author

Taylor, Paul H. ; Jonathan, Philip ; Harland, Leon A. / Time domain simulation of jack-up dynamics with the extremes of a Gaussian process. In: Journal of Vibration and Acoustics. 1995 ; Vol. 119, No. 4. pp. 624-628.

Bibtex

@article{4752ca6148f0464cbee002e744ef12c4,
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.",
keywords = "Computer simulation, Estimation, Jack-up rigs, Probability, Random processes, Statistics, Storms, Time domain analysis, Water waves, Gaussian random processes, Storm driven waves, Time domain simulation, Computational fluid dynamics",
author = "Taylor, {Paul H.} and Philip Jonathan and Harland, {Leon A.}",
year = "1995",
doi = "10.1115/1.2889772",
language = "English",
volume = "119",
pages = "624--628",
journal = "Journal of Vibration and Acoustics",
issn = "1048-9002",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "4",

}

RIS

TY - JOUR

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.

KW - Computer simulation

KW - Estimation

KW - Jack-up rigs

KW - Probability

KW - Random processes

KW - Statistics

KW - Storms

KW - Time domain analysis

KW - Water waves

KW - Gaussian random processes

KW - Storm driven waves

KW - Time domain simulation

KW - Computational fluid dynamics

U2 - 10.1115/1.2889772

DO - 10.1115/1.2889772

M3 - Journal article

VL - 119

SP - 624

EP - 628

JO - Journal of Vibration and Acoustics

JF - Journal of Vibration and Acoustics

SN - 1048-9002

IS - 4

ER -