通过CFD计算前奏号船体和进水口上的水流力:使用两台世界上最大的超级计算机的全尺寸模型

E. Auburtin, Jang-Whan Kim, Hyunchul Jang, L. Lai, J. McConochie, Y. Drobyshevski, E. Van Haaften
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引用次数: 0

摘要

Prelude浮式液化天然气(FLNG)设施系泊在一个内部转塔上,可以进行液化天然气和石油天然气产品的卸载作业。它可以采用自由风向标(FW)模式,即允许机组根据环境负载旋转,也可以采用推进器辅助(TA)模式,即使用船尾推进器保持固定航向,这被认为是整个操作或特定阶段的首选。根据所选择的操作模式,准确估计FLNG和LNG运输船所受的各种环境影响,对于确保正确预测其航向或所需的推进器力至关重要。驱动风向标性能的主要荷载是风荷载和电流荷载。这些载荷是在工程阶段通过风洞试验估计出来的。自从Prelude FLNG在现场安装以来,现场测量提供了一个比较的机会,并显示了与基于估计载荷的数值预测的一些差异,这促使需要通过独立的方法验证当前载荷。对于Prelude FLNG应用,由于设施规模和显著的潮流,电流负载起着重要作用。先前的一些研究表明,与全尺寸船舶相比,水下几何模型的风洞测试可能低估了电流载荷。在风洞试验中,沿风洞底部存在边界层,而在实际海洋条件下,在船体吃水上方,水流剖面相对均匀。此外,实验测试还存在一些额外的缺点:它们是在缩小的比例(1:25 25)下进行的,即使风洞速度很大,雷诺数也低于全尺寸,并且很难对延伸到船底以下的长(150米全尺寸)进水立管(WIR)进行建模。为了研究这些影响,对Prelude船体和WIR进行了最先进的全尺寸CFD模拟。测试程序包括不同的水流速度和方向,以及几个敏感性研究:模型和全尺寸之间的雷诺数效应、水流速度分布的影响(在模型尺度下比较均匀层和边界层分布)、FLNG在偏航时旋转的影响、非定常水流的影响以及海洋生长的存在。Prelude FLNG的极端尺寸和本研究的精度要求要求CFD计算在德克萨斯州高级计算中心(TACC)的高性能计算(HPC)集群(Stampede2和Frontera)上进行,这两个集群都是世界上最大的超级计算机之一。本文描述了CFD研究的假设和挑战,并讨论了主要程序和各种灵敏度的结果。讨论了本文的主要结论和经验教训。
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Current Forces on Prelude Hull and Water Intake Riser by CFD: Full Scale Model Using Two of the World’s Largest Supercomputers
The Prelude Floating Liquefied Natural Gas (FLNG) facility is moored with an internal turret allowing it to perform offloading operations of liquefied natural and petroleum gas products. It does so in either a Free Weathervaning (FW) mode, i.e. by allowing the unit to rotate according to environmental loads, or in a Thruster-Assisted (TA) mode, i.e. by using the stern thrusters to maintain a fixed heading deemed preferable for the entire operation, or a particular phase. An accurate estimation of the various environment effects, in terms of forces on the FLNG and LNG carrier, is critical to ensure a correct prediction of its heading or the required thruster forces, depending on the selected operating mode. The predominant loads driving the weathervaning behavior are wind and current loads. These loads have been estimated from wind tunnel tests during the engineering phase. Since the Prelude FLNG has been installed on-site, field measurements have provided an opportunity for comparison and shown some differences with the numerical predictions based on the estimated loads, prompting a need for verification of current loads by an independent method. For the Prelude FLNG application, current loads play an important role due to facility size and significant tidal currents. It has been shown in some previous studies that wind tunnel tests for a model of under-water geometry may underestimate current loads compared to those on a full-scale vessel. There is a boundary layer along the wind tunnel floor in wind tunnel tests, while the current profile is relatively uniform over the hull draft in the real ocean condition. Moreover experimental tests present some additional drawbacks: they are performed at a reduced scale (1:225), the Reynolds number is lower than full-scale even with a large wind tunnel speed, and it is difficult to model the long (150m full-scale) Water Intake Risers (WIR) extending below the hull bottom. In order to investigate these effects, state-of-the-art full-scale CFD simulations were performed for the Prelude hull and WIR. The test program included different current speeds and directions, and several sensitivity studies: Reynolds number effect between model- and full-scales, effect of current speed profile (comparing uniform and boundary layer profiles at model scale), effect of FLNG rotation in yaw, impact of unsteady current, and presence of marine growth. Extreme dimensions of Prelude FLNG and requirements for accuracy of this study called for the CFD calculations to be performed on the High Performance Computing (HPC) clusters - Stampede2 and Frontera - at the Texas Advanced Computing Center (TACC), which are both amongst the world’s largest supercomputers. This paper describes the assumptions and challenges of the CFD study and discusses the results of the main program and various sensitivities. The main conclusions and lessons learnt are also discussed.
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Importance of the Inertial Components in Modal State Covariances Prelude FLNG Free Weathervaning Heading Prediction and Uncertainties, Based on Machine Learning Model Applying Open Web Architectures Towards Collaborative Maritime Design and Simulation Joint-Industry Effort to Develop and Verify CFD Modeling Practice for Predicting Wave Impact Dynamic Response of a Generic Self-Elevating Unit in Operation With Hull in Water
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