Projection and Detection Procedures for Long-Term Wave Climate Change Impact on Fatigue Damage of Offshore Floating Structures

T. Zou, M. Kaminski, Hang Li, L. Tao
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Abstract

The climate change may affect the long-term wave statistics and consequently affect the cumulative fatigue damage. This paper aims to project the trend of annual fatigue damage of offshore floating structures and to detect the climate change impact on the future fatigue damage by coupling a conventional fatigue design method with climate and wave models. Firstly, climate scenarios are selected to project the global radiative forcing level over decadal or century time scales. Secondly, climate models are used to simulate atmosphere circulations and to obtain the wind field data. Thirdly, wave conditions are simulated by coupling wind driven wave models to climate models. Fourthly, stress analysis and fatigue assessments are conducted to project the annual fatigue damage. At last, control simulations are carried out in order to identify the range of natural variability and to detect the human-induced change. A case study is presented in the Sable field offshore South Africa. The results indicate that the significant wave height is considerably influenced by the human-induced climate change. However, this change induced by human activities is still partially masked by the dominant natural variability. In addition, both the significant wave height and the annual fatigue damage increase over century time-scales.
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长期波浪气候变化对海上浮式结构疲劳损伤影响的预测与检测方法
气候变化可能影响长期波浪统计,从而影响累积疲劳损伤。本文旨在通过将传统的疲劳设计方法与气候和波浪模型相结合,预测海上浮式结构的年疲劳损伤趋势,并检测气候变化对未来疲劳损伤的影响。首先,选择气候情景来预估年代际或世纪尺度上的全球辐射强迫水平。其次,利用气候模式模拟大气环流,获取风场数据。第三,将风浪模式与气候模式耦合模拟波浪条件。第四,进行应力分析和疲劳评估,预测年疲劳损伤。最后,为了识别自然变率的范围和检测人为引起的变化,进行了控制仿真。本文介绍了南非近海Sable油田的一个案例研究。结果表明,显著波高受人为气候变化的影响较大。然而,这种由人类活动引起的变化仍部分被占主导地位的自然变率所掩盖。此外,显著波高和年疲劳损伤在百年时间尺度上均有所增加。
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