Most Likely Response Waves for Estimation of Extreme Value Ship Response Statistics

Jesper Skjoldager Dietz; Peter Friis-Hansen; Jørgen Juncher Jensen

Most Likely Response Waves for Estimation of Extreme Value Ship Response Statistics

Jesper Skjoldager Dietz
, Peter Friis-Hansen
, Jørgen Juncher Jensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Fast and accurate methods for estimation of non-linear extreme value ship response statistics using 2D or 3D time-domain codes are of interest. The present study illustrates a new approach using Most Likely Response Waves (MLRW) to estimate the entire non-linear extreme response value distribution for a selected operational profile. The numerical results are performed for a Panmax containership using the non-linear time-domain sea-keeping code ShipStar, Xia et al. (1998).

Original language	English
Title of host publication	Proceedings of PRADS´04
Publisher	Seehafen Verlag
Publication date	2004
Pages	286-293
Publication status	Published - 2004
Event	9th International Symposium on Practical Design of Ships and Other Floating Structures - Luebeck-Travemünde, Germany Duration: 12 Sept 2004 → 17 Sept 2004 Conference number: 9

Conference

Conference	9th International Symposium on Practical Design of Ships and Other Floating Structures
Number	9
Country/Territory	Germany
City	Luebeck-Travemünde
Period	12/09/2004 → 17/09/2004

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@inproceedings{c5cdf254fae14858ae394064d313d8c4,

title = "Most Likely Response Waves for Estimation of Extreme Value Ship Response Statistics",

abstract = "Fast and accurate methods for estimation of non-linear extreme value ship response statistics using 2D or 3D time-domain codes are of interest. The present study illustrates a new approach using Most Likely Response Waves (MLRW) to estimate the entire non-linear extreme response value distribution for a selected operational profile. The numerical results are performed for a Panmax containership using the non-linear time-domain sea-keeping code ShipStar, Xia et al. (1998).",

author = "Dietz, \{Jesper Skjoldager\} and Peter Friis-Hansen and Jensen, \{J{\o}rgen Juncher\}",

year = "2004",

language = "English",

pages = "286--293",

booktitle = "Proceedings of PRADS´04",

publisher = "Seehafen Verlag",

note = "9th International Symposium on Practical Design of Ships and Other Floating Structures, PRADS 2004 ; Conference date: 12-09-2004 Through 17-09-2004",

}

TY - GEN

T1 - Most Likely Response Waves for Estimation of Extreme Value Ship Response Statistics

AU - Dietz, Jesper Skjoldager

AU - Friis-Hansen, Peter

AU - Jensen, Jørgen Juncher

N1 - Conference code: 9

PY - 2004

Y1 - 2004

N2 - Fast and accurate methods for estimation of non-linear extreme value ship response statistics using 2D or 3D time-domain codes are of interest. The present study illustrates a new approach using Most Likely Response Waves (MLRW) to estimate the entire non-linear extreme response value distribution for a selected operational profile. The numerical results are performed for a Panmax containership using the non-linear time-domain sea-keeping code ShipStar, Xia et al. (1998).

AB - Fast and accurate methods for estimation of non-linear extreme value ship response statistics using 2D or 3D time-domain codes are of interest. The present study illustrates a new approach using Most Likely Response Waves (MLRW) to estimate the entire non-linear extreme response value distribution for a selected operational profile. The numerical results are performed for a Panmax containership using the non-linear time-domain sea-keeping code ShipStar, Xia et al. (1998).

M3 - Article in proceedings

SP - 286

EP - 293

BT - Proceedings of PRADS´04

PB - Seehafen Verlag

T2 - 9th International Symposium on Practical Design of Ships and Other Floating Structures

Y2 - 12 September 2004 through 17 September 2004

ER -

Most Likely Response Waves for Estimation of Extreme Value Ship Response Statistics

Abstract

Conference

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