Aeroelastic analysis of wind turbines using a tightly coupled CFD–CSD method

Carrion, Marina; Steijl, R.; Woodgate, M.; Barakos, George N.; Munduate, Xabier; Gómez-Iradi, S.

doi:10.1016/j.jfluidstructs.2014.06.029

Cited by 46 publications

(25 citation statements)

References 31 publications

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“…HMB3 solves the Navier-Stokes equations in integral form using the arbitrary Lagrangian-Eulerian formulation for time-dependent domains with moving boundaries (Dehaeze and Barakos 2012a, b;Carrión et al 2014a). The solver uses a cell-centred finite volume approach combined with an implicit dual-time method (Jameson 1991).…”

Section: Methodsmentioning

confidence: 99%

CFD Investigation of a Complete Floating Offshore Wind Turbine

Leble

Barakos

2016

Mare-Wint

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This chapter presents numerical computations for floating offshore wind turbines for a machine of 10-MW rated power. The rotors were computed using the Helicopter Multi-Block flow solver of the University of Glasgow that solves the Navier-Stokes equations in integral form using the arbitrary Lagrangian-Eulerian formulation for time-dependent domains with moving boundaries. Hydrodynamic loads on the support platform were computed using the Smoothed Particle Hydrodynamics method. This method is mesh-free, and represents the fluid by a set of discrete particles. The motion of the floating offshore wind turbine is computed using a Multi-Body Dynamic Model of rigid bodies and frictionless joints. Mooring cables are modelled as a set of springs and dampers. All solvers were validated separately before coupling, and the loosely coupled algorithm used is described in detail alongside the obtained results. Greekartificial viscosity parameter (-) adiabatic index (-)

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Section: Methodsmentioning

confidence: 99%

CFD Investigation of a Complete Floating Offshore Wind Turbine

Leble

Barakos

2016

Mare-Wint

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“…To validate the current result, the modal frequency of a 62.7 m long blade from [28] is plotted with it. The two blades have similar aerofoil distributions [15,28], with some differences such as pre-bended blade in [6] but pre-coned blade in [15] and a 1.2 m length difference. Assessing Figure 8 and the modal frequencies for each mode, the frequencies of the FE model and LMH64-5 blade are closer for the 1st, 2nd and 4th mode but a significant difference is seen in the third mode, i.e., the 2nd flapwise mode.…”

Section: Fe Modelmentioning

confidence: 99%

Comparative Study on Uni- and Bi-Directional Fluid Structure Coupling of Wind Turbine Blades

Ageze

2017

Energies

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Abstract:The current trends of wind turbine blade designs are geared towards a longer and slender blade with high flexibility, exhibiting complex aeroelastic loadings and instability issues, including flutter; in this regard, fluid-structure interaction (FSI) plays a significant role. The present article will conduct a comparative study between uni-directional and bi-directional fluid-structural coupling models for a horizontal axis wind turbine. A full-scale, geometric copy of the NREL 5MW blade with simplified material distribution is considered for simulation. Analytical formulations of the governing relations with appropriate approximation are highlighted, including turbulence model, i.e., Shear Stress Transport (SST) k-ω. These analytical relations are implemented using Multiphysics package ANSYS employing Fluent module (Computational Fluid Dynamics (CFD)-based solver) for the fluid domain and Transient Structural module (Finite Element Analysis-based solver) for the structural domain. ANSYS system coupling module also is configured to model the two fluid-structure coupling methods. The rated operational condition of the blade for a full cycle rotation is considered as a comparison domain. In the bi-directional coupling model, the structural deformation alters the angle of attack from the designed values, and by extension the flow pattern along the blade span; furthermore, the tip deflection keeps fluctuating whilst it tends to stabilize in the uni-directional coupling model.

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“…Wang et al [3] established an FSI model using CFD and FEA with one-way coupling interface between them. Carrión et al [4] applied a CFD-CSD method to perform aeroelastic analysis on NREL and MEXICO wind turbines where flapwise and edgewise instabilities were studied. Recently, Heinz et al [5] conducted a high-fedility study on the blade of the reference wind turbine DTU 10 MW to investigate the aeroelastic response in deep stall conditions using HAWC2CFD tool [6].…”

Section: Introductionmentioning

confidence: 99%

Numerical Fluid-Structure Interaction Study on the NREL 5MW HAWT

Halawa

Sessarego

Shen

et al. 2018

J. Phys.: Conf. Ser.

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Abstract. The development of reliable Fluid-Structure Interaction (FSI) simulation tools and models for the wind turbines is a critical step in the design procedure towards achieving optimized large wind turbine structures. Such approach will mitigate the aeroelastic instabilities like: torsional flutter, stall flutter and edgewise instability that introduce extra stresses to the turbine structure leading to reduced life time and substantial failures. In this study, FSI simulations were held using the commercial package Ansys v18.2 solvers as a preliminary step towards our on-going development of a reliable Open-Source solver. These simulations were applied to the full-scale rotor blades of the NREL 5MW reference horizontal axis wind turbine. The aerodynamic loads and structural responses computations were carried out using a steady-state FSI analysis. The computations were run on the Kyushu University multicore Linux cluster using the public domain openMPI implementation of the standard message passing interface (MPI). Finally, the results were validated against the Technical University of Denmark's (DTU) MIRAS aeroelastic code results as well as the widely used FLEX5-Q 3 UIC and FAST codes in different cases showing reasonable agreement. IntroductionThe increased potential for the extraction of wind energy has led to a considerable development in the wind turbines designs. The turbine blades are getting larger and thus introducing new load effects. The flexibility of large wind turbines yields an interaction between the fluid flow and the internal structure loading causing what is known as Fluid-Structure Interaction (FSI) or aeroelastic effects. The consequences of these effects are many instability problems like torsional flutter, stall flutter and edgewise instability imposing extra stresses on the blade structure through fatigue loads that potentially end up to wind turbine failures. Hence, developing reliable FSI simulation tools and models for the blades of wind turbines is a critical step towards developing and optimizing the large wind turbines designs. Many recent studies are centered around the FSI development. Hsu and Bazilevs [1] simulated a full scale turbine using a fully coupled 3D FSI approach by a low order FEM-based ALE-VMS technique. Rafiee et al.[2] investigated the aeroelastic behavior using modified BEM and CFD then constructed an iterative FSI approach. Wang et al. [3] established an FSI model using CFD and FEA with one-way coupling interface between them. Carrión et al.[4] applied a CFD-CSD method to perform aeroelastic

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Aeroelastic analysis of wind turbines using a tightly coupled CFD–CSD method

Cited by 46 publications

References 31 publications

CFD Investigation of a Complete Floating Offshore Wind Turbine

CFD Investigation of a Complete Floating Offshore Wind Turbine

Comparative Study on Uni- and Bi-Directional Fluid Structure Coupling of Wind Turbine Blades

Numerical Fluid-Structure Interaction Study on the NREL 5MW HAWT

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