Abstract
We provide an overview of the aerodynamic and FSI analysis of wind turbines the first three authors’ teams carried out in recent years with the ALE-VMS and ST-VMS methods. The ALE-VMS method is the variational multiscale version of the Arbitrary Lagrangian–Eulerian (ALE) method. The VMS components are from the residual-based VMS (RBVMS) method. The ST-VMS method is the VMS version of the Deforming-Spatial-Domain/Stabilized Space–Time (DSD/SST) method. The techniques complementing these core methods include weak enforcement of the essential boundary conditions, NURBS-based isogeometric analysis, using NURBS basis functions in temporal representation of the rotor motion, mesh motion and also in remeshing, rotation representation with constant angular velocity, Kirchhoff–Love shell modeling of the rotor-blade structure, and full FSI coupling. The analysis cases include the aerodynamics of wind-turbine rotor and tower and the FSI that accounts for the deformation of the rotor blades. The specific wind turbines considered are NREL 5MW, NREL Phase VI and Micon 65/13M, all at full scale, and our analysis for NREL Phase VI and Micon 65/13M includes comparison with the experimental data.
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Acknowledgments
We wish to thank the Texas Advanced Computing Center (TACC) and the San Diego Supercomputing Center (SDSC) for providing HPC resources that have contributed to the research results reported in this article. The first author acknowledges the support of the NSF CAREER Award, the NSF Award CBET-1306869, and the Air Force Office of Scientific Research Award FA9550-12-1-0005. The ST-VMS part of the work was supported by ARO grants W911NF-09-1-0346 and W911NF-12-1-0162 (third author) and Rice–Waseda Research Agreement (second author).
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Bazilevs, Y., Takizawa, K., Tezduyar, T.E., Hsu, MC., Kostov, N., McIntyre, S. (2014). Computational Wind-Turbine Analysis with the ALE-VMS and ST-VMS Methods. In: Idelsohn, S. (eds) Numerical Simulations of Coupled Problems in Engineering. Computational Methods in Applied Sciences, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-319-06136-8_14
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