Statistical prediction of parametric roll using FORM

Jørgen Juncher Jensen; Ju-hyuck Choi; Ulrik Dam Nielsen

doi:10.1016/j.oceaneng.2017.08.029

Statistical prediction of parametric roll using FORM

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Abstract

Previous research has shown that the First Order Reliability Method (FORM) can be an efficient method for estimation of outcrossing rates and extreme value statistics for stationary stochastic processes. This is so also for bifurcation type of processes like parametric roll of ships. The present paper discusses this solution procedure with a focus on the computational efficiency of FORM as compared with Monte Carlo Simulation (MCS).

Original language	English
Journal	Ocean Engineering
Volume	144
Pages (from-to)	235–242
ISSN	0029-8018
DOIs	https://doi.org/10.1016/j.oceaneng.2017.08.029
Publication status	Published - 2017

Keywords

Parametric roll
FORM
Mean out-crossing rate
Reliability index
Critical wave episodes

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10.1016/j.oceaneng.2017.08.029

Statistical prediction of parametric roll using FORM jjj final no markups 1Accepted author manuscript, 795 KBLicence: Unspecified

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title = "Statistical prediction of parametric roll using FORM",

abstract = "Previous research has shown that the First Order Reliability Method (FORM) can be an efficient method for estimation of outcrossing rates and extreme value statistics for stationary stochastic processes. This is so also for bifurcation type of processes like parametric roll of ships. The present paper discusses this solution procedure with a focus on the computational efficiency of FORM as compared with Monte Carlo Simulation (MCS).",

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year = "2017",

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T1 - Statistical prediction of parametric roll using FORM

AU - Jensen, Jørgen Juncher

AU - Choi, Ju-hyuck

AU - Nielsen, Ulrik Dam

PY - 2017

Y1 - 2017

N2 - Previous research has shown that the First Order Reliability Method (FORM) can be an efficient method for estimation of outcrossing rates and extreme value statistics for stationary stochastic processes. This is so also for bifurcation type of processes like parametric roll of ships. The present paper discusses this solution procedure with a focus on the computational efficiency of FORM as compared with Monte Carlo Simulation (MCS).

AB - Previous research has shown that the First Order Reliability Method (FORM) can be an efficient method for estimation of outcrossing rates and extreme value statistics for stationary stochastic processes. This is so also for bifurcation type of processes like parametric roll of ships. The present paper discusses this solution procedure with a focus on the computational efficiency of FORM as compared with Monte Carlo Simulation (MCS).

KW - Parametric roll

KW - FORM

KW - Mean out-crossing rate

KW - Reliability index

KW - Critical wave episodes

U2 - 10.1016/j.oceaneng.2017.08.029

DO - 10.1016/j.oceaneng.2017.08.029

M3 - Journal article

SN - 0029-8018

VL - 144

SP - 235

EP - 242

JO - Ocean Engineering

JF - Ocean Engineering

ER -

Statistical prediction of parametric roll using FORM

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Keywords

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