| contributor author | Kevin A. McTaggart | |
| date accessioned | 2017-05-09T00:03:07Z | |
| date available | 2017-05-09T00:03:07Z | |
| date copyright | May, 2000 | |
| date issued | 2000 | |
| identifier issn | 0892-7219 | |
| identifier other | JMOEEX-28146#141_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/124159 | |
| description abstract | This paper presents an efficient method for determining capsize risk for a given seaway and ship operational condition using time domain simulations. The risk of capsize during 1 h exposure to a given seaway is dependent on the wave process realization, which is determined by a seed number and resulting random wave phases. The dependence of maximum roll angle on wave process can be modeled by fitting a suitable distribution to maximum roll angles from a moderate number of simulations. Sample computations for a naval frigate demonstrate that a Gumbel distribution provides a very good fit to maximum roll angles from different wave realizations. [S0892-7219(00)00402-7] | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Ship Capsize Risk in a Seaway Using Fitted Distributions to Roll Maxima | |
| type | Journal Paper | |
| journal volume | 122 | |
| journal issue | 2 | |
| journal title | Journal of Offshore Mechanics and Arctic Engineering | |
| identifier doi | 10.1115/1.533736 | |
| journal fristpage | 141 | |
| journal lastpage | 146 | |
| identifier eissn | 1528-896X | |
| keywords | Waves | |
| keywords | Engineering simulation | |
| keywords | Probability | |
| keywords | Ships AND Engineering standards | |
| tree | Journal of Offshore Mechanics and Arctic Engineering:;2000:;volume( 122 ):;issue: 002 | |
| contenttype | Fulltext | |
