Abstract
Significant wave heights are modeled by means of a spatial-temporal random Gaussian field. Its dependent structure can be localized by introduction of time and space dependent parameters in the spectrum. The model has the advantage of having a relatively small number of parameters. These parameters have natural physical interpretation and are statistically fitted to represent variability of observed significant wave height records. The fitted spatial-temporal significant wave field allows for prediction of fatigue accumulation in ship details and of extreme responses encountered. The method is exemplified by analyzing a container ship data relevant for North Atlantic trade and the results show a high agreement with actual on-board measurements. (C) 2013 Elsevier B.V. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 109-123 |
| Journal | Journal of Marine Systems |
| Volume | 130 |
| DOIs | |
| Publication status | Published - 2014 |
Subject classification (UKÄ)
- Probability Theory and Statistics
Free keywords
- Significant wave heights
- Hundred years wave
- Fatigue damage
- Narrow
- band approximation
- Rainflow cycles
- Level crossings