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 language | English (US) |
|---|---|
| Pages (from-to) | 271-275 |
| Number of pages | 5 |
| Journal | Journal of Offshore Mechanics and Arctic Engineering |
| Volume | 128 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2006 |
| Externally published | Yes |
ASJC Scopus subject areas
- Ocean Engineering
- Mechanical Engineering
