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Prediction of design loads for deep water subsea lifting operations based on non-stationary time response

机译:基于非静止时间响应的深水海底提升操作设计载荷预测

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摘要

Two methodologies for the prediction of the design loads of deep water subsea lifting operations crossing resonance zones are presented. These methodologies are applicable to models that consider the influence of the payout speed on the dynamics of the operation, leading to a non-stationary time series for the dynamic forces on the system. The first model is based on running several random simulations of the same scenario and using these simulations as a sample in which statistical parameters are inferred. The second model uses a weighted least squares approach to predict a normalizing function that is used to evaluate the statistical parameters of the response. Both models are tested by considering the installation of a typical manifold in the Pre-Salt fields, in Brazil, and are able to predict the general form of the envelope of forces on the cable for various sea states and payout speeds. The models also provided similar results for the availability of the vessel after evaluating the weather window for this operation. Finally, the advantages of using the weighted least squares approach in comparison to the direct method are discussed, since it may considerably reduce the total number of simulations required to perform a real operation assessment, especially during preliminary design phases.
机译:提出了两种用于预测深水海底升降操作交叉谐振区的设计负荷的方法。这些方法适用于考虑支付速度对操作动态的影响,导致系统上动态力的非静止时间序列。第一模型基于运行相同场景的几个随机仿真,并使用这些模拟作为推断统计参数的样本。第二模型使用加权最小二乘方法来预测用于评估响应统计参数的标准化功能。通过考虑在巴西预盐领域的典型歧管安装,并且能够预测各种海区和支付速度的电缆上的力的通用形式,可以测试两种型号。在评估该操作的天气窗口之后,该模型还提供了类似的船舶可用性的结果。最后,讨论了使用加权最小二乘法与直接方法相比的优点,因为它可以显着减少执行真实操作评估所需的模拟总数,尤其是在初步设计期间。

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  • 来源
    《Oceanographic Literature Review》 |2020年第9期|2075-2075|共1页
  • 作者单位

    Department of Computational Mechanics DMC University of Campinas Rua Mendeleyev 200 Campinas CEP 13083-860 Brazil;

    Department of Computational Mechanics DMC University of Campinas Rua Mendeleyev 200 Campinas CEP 13083-860 Brazil;

    Department of Computational Mechanics DMC University of Campinas Rua Mendeleyev 200 Campinas CEP 13083-860 Brazil;

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