Multirate time stepping for aeroelastic simulations of wind turbines using the actuator line model

IF 2.5 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Fluids Pub Date : 2025-02-17 DOI:10.1016/j.compfluid.2025.106574
Konstantina Ntrelia , Stefan Vandewalle , Johan Meyers
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引用次数: 0

Abstract

In this study we introduce a novel high-order tight coupling methodology based on multirate generalized additive Runge–Kutta schemes, for the aeroelastic simulations of wind turbines. A large eddy simulation framework is coupled to a multibody structural model by utilizing the multirate technique. Turbines are represented by the actuator line model. We explore two different scenarios depending on component partitioning and test them in terms of accuracy and performance. The two coupling approaches are tested in simulations of an NREL 5 MW reference wind turbine inside a uniform inflow. The scheme preserves a high-order accuracy for both coupling methods, while we observe a strong dependency of the numerical solution on the partitioning and the multirate ratio. The implemented multirate schemes demonstrate great potential for achieving algorithmic speed-ups for aeroelastic simulations compared to single-rate methods.
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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
期刊最新文献
Editorial Board Multirate time stepping for aeroelastic simulations of wind turbines using the actuator line model A hybrid immersed-boundary/front-tracking method for interface-resolved simulation of droplet evaporation Non-dimensional meshing criterion of mean flow field discretization for RANS and LES A reconstruction technique for high-order variational finite volume schemes based on conjugate gradient method
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