Second order model for wave crests used in prediction of green water load and volume on ships in random waves

Hanne Therese Wist*, Dag Myrhaug, Haavard Rue

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The probability that a wave crest in a random sea will exceed a specified height has long been recognized as important statistics in practical work, e.g., in predicting green water load and volume on a ship. Nonlinear probability density functions for predicting green water load and volume are presented. The models are based on the parametric model of Ogawa (2003, "Long-Term Prediction Method for the Green Water Load and Volume for an Assessment of the Load Line," J. Marine Sci. Technol., 7, pp. 137-144) combined with transformation of a second order wave crest height model. The wave crest height model is obtained from second order wave theory for a narrow-banded sea state in combination with transformation of the Rayleigh distribution. Results from the second order models are compared with model tests of a cargo ship presented in Ogawa (2003, "Long-Term Prediction Method for the Green Water Load and Volume for an Assessment of the Load Line," J. Marine Sci. Technol., 7, pp. 137-144) and the Ogawa models.

Original languageEnglish (US)
Pages (from-to)271-275
Number of pages5
JournalJournal of Offshore Mechanics and Arctic Engineering
Volume128
Issue number4
DOIs
StatePublished - Dec 5 2006

ASJC Scopus subject areas

  • Ocean Engineering
  • Mechanical Engineering

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