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Fully coupled aero-hydrodynamic analysis of a semi-submersible FOWT using a dynamic fluid body interaction approach

机译:使用动态流体相互作用方法对半潜式FOWT进行全耦合空气流体动力学分析

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In the design phase of a floating offshore wind turbine, the influence of aero-hydro-structure dynamic coupling needs to be fully considered to yield reliable analysis results. In this study, a highly elaborated computational model based on a dynamic fluid body interaction method with a superimposed motion and catenary mooring solver is applied and compared with common engineering approaches. An overset-based technique is also utilized to effectively handle large movements of a full floating wind turbine body due to the coupled influence of wind-wave loads. The DeepCwind semi-submersible, floating platform mounted by the NREL 5-MW baseline wind turbine is used to obtain validation and verification of the new computational model with the experimental test data and the NREL FAST code. Various computational results for unsteady aerodynamics, hydrodynamics, and fully coupled aero-hydrodynamics including mooring line loads are compared stage by stage with the test data and numerical results calculated by the NREL FAST code. Overall, the predicted results of the aerodynamic performances, platform dynamic responses, and mooring line tensions show good agreements with the presented numerical solutions and the FAST solutions. In addition, multi-phase unsteady flow fields with complex inference effects in the blade-tip vortices, shedding vortices, and turbulent wakes are numerically visualized and investigated in detail. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在浮式海上风力涡轮机的设计阶段,需要充分考虑航空水力结构动力耦合的影响,以得出可靠的分析结果。在这项研究中,基于高度动态的流体相互作用方法(具有叠加的运动和悬链式系泊求解器)的复杂计算模型得到了应用,并与常规工程方法进行了比较。由于风浪负载的耦合影响,基于过高的技术还可以有效地处理整个浮动式风力涡轮机机体的大运动。由NREL 5兆瓦基准风力涡轮机安装的DeepCwind半潜式浮动平台用于通过实验测试数据和NREL FAST代码获得对新计算模型的验证和验证。逐步比较非定常空气动力学,流体动力学和完全耦合的空气流体动力学(包括系泊线载荷)的各种计算结果,并与测试数据和由NREL FAST代码计算出的数值结果进行比较。总体而言,空气动力学性能,平台动力响应和系泊缆索张力的预测结果与所提出的数值解和FAST解表现出良好的一致性。此外,在数值上可视化并详细研究了在叶尖旋涡,脱落旋涡和湍流尾流中具有复杂推断作用的多相非定常流场。 (C)2016 Elsevier Ltd.保留所有权利。

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