转子优化的数据驱动降阶模型

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
N. Peters, Christopher J. Silva, J. Ekaterinaris
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引用次数: 1

摘要

摘要对于旋翼设计应用,如风力涡轮机旋翼或城市空中机动(UAM)旋翼机和飞行汽车设计,快速准确地建模在复杂湍流流场中运行的旋翼是一个重大挑战。通过应用数据驱动的代理建模,可以获得合理准确但低成本的转子性能预测。在这项研究中,进行了初步的研究,以适当的正交分解(POD)为基础的降阶模型(ROM)来预测转子分布载荷。POD ROM是基于计算流体动力学(CFD)的结果推导出来的,用于对由于扭转和锥度比变化而导致拓扑变化的转子叶片进行分布压力预测。旋翼捻度θ在0、10、20和30度之间变化,而锥度比λ在1.0、0.9、0.8和0.7之间变化。为了演示该方法,所有转子都由单个叶片组成。对POD ROM进行了三种运行情况的验证:高俯仰或高推力转子悬停,低俯仰或低推力转子悬停,低速前飞的旋翼类似风切变运行。结果表明,所建立的代理模型能够以最小的计算成本实现较为准确的负荷预测。悬停叶片表面压力预测的计算成本从CFD所需的440个芯的12小时减少到POD所需的单个芯的几分之一秒。对于向前飞行的旋翼,成本从440芯的20小时减少到单芯的不到一秒。利用POD ROM对旋翼进行优化设计,使悬停旋翼的优值最大化,前飞时升阻有效比最大化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A data-driven reduced-order model for rotor optimization
Abstract. For rotor design applications, such as wind turbine rotors or urban air mobility (UAM) rotorcraft and flying-car design, there is a significant challenge in quickly and accurately modeling rotors operating in complex, turbulent flow fields. One potential path for deriving reasonably accurate but low-cost rotor performance predictions is available through the application of data-driven surrogate modeling. In this study, an initial investigation is undertaken to apply a proper orthogonal decomposition (POD)-based reduced-order model (ROM) for predicting rotor distributed loads. The POD ROM was derived based on computational fluid dynamics (CFD) results and utilized to produce distributed-pressure predictions on rotor blades subjected to topology change due to variations in the twist and taper ratio. Rotor twist, θ, was varied between 0, 10, 20, and 30∘, while the taper ratio, λ, was varied as 1.0, 0.9, 0.8, and 0.7. For a demonstration of the approach, all rotors consisted of a single blade. The POD ROM was validated for three operation cases: a high-pitch or a high-thrust rotor in hover, a low-pitch or a low-thrust rotor in hover, and a rotor in forward flight at a low speed resembling wind turbine operation with wind shear. Results showed that reasonably accurate distributed-load predictions could be achieved and the resulting surrogate model can predict loads at a minimal computational cost. The computational cost for the hovering blade surface pressure prediction was reduced from 12 h on 440 cores required for CFD to a fraction of a second on a single core required for POD. For rotors in forward flight, cost was reduced from 20 h on 440 cores to less than a second on a single core. The POD ROM was used to carry out a design optimization of the rotor such that the figure of merit was maximized for hovering-rotor cases and the lift-to-drag effective ratio was maximized in forward flight.
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来源期刊
Wind Energy Science
Wind Energy Science GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
6.90
自引率
27.50%
发文量
115
审稿时长
28 weeks
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