Estimating Long Term Extreme Slamming From Breaking WavesSource: Journal of Offshore Mechanics and Arctic Engineering:;2016:;volume( 138 ):;issue: 005::page 51101DOI: 10.1115/1.4033935Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Characteristic loads for design of offshore structures are defined in terms of their annual exceedance probability, q. In the Norwegian Petroleum Regulations, q = 10−2 is required for the ultimate limit state (ULS), while q = 10−4 is required for the accidental limit state (ALS). In principle, a full longterm analysis (LTA) is required in order to obtain consistent estimates. This is straightforward for linear response problems, while it is a challenge for nonlinear problems, in particular if they additionally are of an on–off nature. The latter will typically be the case for loads due to breaking wave impacts. In this paper, the challenges related to estimation of characteristic slamming loads are discussed. Measured slamming loads from a model test are presented, and the observed large variability is discussed. The stochastic nature of slamming loads is studied using a simplified linear relation between the sea states and the Gumbel distribution parameter surfaces. The characteristic slamming loads with qannual probability of exceedance are estimated from an LTA using the shortterm distribution of the slamming loads and the longterm distribution of the sea states. The effect of integrating over a smaller area of the scatter diagram of the sea states is studied. The uncertainties in response from slamming loads are compared to a more common response process, and the relation between variability and the number of realizations in each sea state is looked into.
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contributor author | Lian, Gunnar | |
contributor author | Haver, Sverre K. | |
date accessioned | 2017-05-09T01:32:31Z | |
date available | 2017-05-09T01:32:31Z | |
date issued | 2016 | |
identifier issn | 0892-7219 | |
identifier other | omae_138_05_051101.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/162301 | |
description abstract | Characteristic loads for design of offshore structures are defined in terms of their annual exceedance probability, q. In the Norwegian Petroleum Regulations, q = 10−2 is required for the ultimate limit state (ULS), while q = 10−4 is required for the accidental limit state (ALS). In principle, a full longterm analysis (LTA) is required in order to obtain consistent estimates. This is straightforward for linear response problems, while it is a challenge for nonlinear problems, in particular if they additionally are of an on–off nature. The latter will typically be the case for loads due to breaking wave impacts. In this paper, the challenges related to estimation of characteristic slamming loads are discussed. Measured slamming loads from a model test are presented, and the observed large variability is discussed. The stochastic nature of slamming loads is studied using a simplified linear relation between the sea states and the Gumbel distribution parameter surfaces. The characteristic slamming loads with qannual probability of exceedance are estimated from an LTA using the shortterm distribution of the slamming loads and the longterm distribution of the sea states. The effect of integrating over a smaller area of the scatter diagram of the sea states is studied. The uncertainties in response from slamming loads are compared to a more common response process, and the relation between variability and the number of realizations in each sea state is looked into. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Estimating Long Term Extreme Slamming From Breaking Waves | |
type | Journal Paper | |
journal volume | 138 | |
journal issue | 5 | |
journal title | Journal of Offshore Mechanics and Arctic Engineering | |
identifier doi | 10.1115/1.4033935 | |
journal fristpage | 51101 | |
journal lastpage | 51101 | |
identifier eissn | 1528-896X | |
tree | Journal of Offshore Mechanics and Arctic Engineering:;2016:;volume( 138 ):;issue: 005 | |
contenttype | Fulltext |