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Validation of a lumped-mass mooring line model with DeepCwind semisubmersible model test data

机译:使用DeepCwind半潜水模型测试数据验证集总质量系泊缆线模型

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This paper introduces a lumped-mass mooring line model and validates it against scale-model floating offshore wind turbine test data. The mooring model incorporates axial elasticity, hydrodynamic loading via Morison's equation, and bottom contact. It neglects bending and torsional stiffnesses for the sake of computation speed. A coupling with the floating wind turbine simulator FAST allows simulation of complete floating wind turbine systems including mooring dynamics. The DeepCwind semisubmersible floating wind turbine design was simulated and the results compared with data from previously-published 1:50-scale experiments. Uncoupled simulations in which the fairlead motions are prescribed according to the test data show very good agreement in fairlead tensions; predicted fatigue and extreme loads match the test data to within 10% and snap load conditions are predicted consistently. When the mooring model is coupled with FAST to simulate the entire floating wind turbine system, the fairlead tensions and the platform heave response are underpredicted relative to the test data, suggesting a limitation of the platform hydrodynamic model. In all cases, using a quasi-static mooring model significantly underpredicts the mooring loads, especially for fatigue. In general, the results suggest that the lumped-mass mooring model is suitable for predicting mooring line loads of the DeepCwind semisubmersible. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文介绍了集总质量系泊线模型,并针对比例模型浮式海上风力发电机测试数据进行了验证。系泊模型包括轴向弹性,通过莫里森方程的流体动力载荷以及底部接触。为了计算速度,它忽略了弯曲刚度和扭转刚度。与浮动式风力涡轮机模拟器FAST结合使用,可以模拟完整的浮动式风力涡轮机系统,包括系泊动力学。模拟了DeepCwind半潜式浮动风力涡轮机的设计,并将结果与​​先前发布的1:50规模的实验数据进行了比较。根据测试数据规定了导缆器运动的非耦合模拟表明,导缆器张力很好地吻合。预测的疲劳和极限载荷将测试数据与10%以内相匹配,并且瞬态载荷条件得到了一致的预测。当系泊模型与FAST耦合以模拟整个浮动风力涡轮机系统时,相对于测试数据,导缆索张力和平台起伏响应被低估了,这提示了平台水动力模型的局限性。在所有情况下,使用准静态的系泊模型都大大低估了系泊载荷,特别是对于疲劳而言。通常,结果表明,集总质量系泊模型适合于预测DeepCwind半潜式船的系泊载荷。 (C)2015 Elsevier Ltd.保留所有权利。

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