An Engineering-Level Vortex Induced Vibration Methodology for Parked-Load Assessment

Abstract. Vortex-induced vibration (VIV) can increase cyclic loading of stationary and slowly moving bluff bodies. Assessing parked wind-turbine loads across winds and blade orientations requires design sweeps that are costly with blade-resolved fluid–structure simulations. We couple QBlade's native aeroelastic response to fixed-body lift and drag spectra through a calibrated, finite-amplitude response law. Sectional data set the coefficients for an H-rotor vertical-axis wind turbine (H-VAWT); separate blade studies train the same law and test a response map on an excluded tip geometry. A turbulent-inflow H-VAWT example compares native QBlade, Spectral VorLap, and Hybrid VorLap under prescribed slow idling. Hybrid VorLap increases the conditional edgewise damage-equivalent load by a factor of 2.63, but flapwise bending still controls the combined longitudinal stress. Comparison with approximate normal operation shows that fatigue ranking depends on wind exposure and the assumed high-cycle material law. Extreme-wind longitudinal stress changes little at the monitored sections. The method supports selection of candidate VIV load cases for detailed analysis, but requires application-specific spectral and response data for quantitative use.

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Publication Details

Journal
Wind Energy Science Discussions
Published
2026-11-06
DOI
https://doi.org/10.5194/wes-2026-204
Primary Topic
Wind Energy Research and Development
Type
preprint

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An Engineering-Level Vortex Induced Vibration Methodology for Parked-Load Assessment

Brent Summerville, Ian D. Brownstein, Benjamin Strom, Alex Frye et al.
2 links
Wind Energy Science Discussions
Wind Energy Research and Development
preprint

An Engineering-Level Vortex Induced Vibration Methodology for Parked-Load Assessment

Brent Summerville, Ian D. Brownstein, Benjamin Strom, Alex Frye, Kevin Moore, Nathaniel de Velder
preprint en

Abstract

Abstract. Vortex-induced vibration (VIV) can increase cyclic loading of stationary and slowly moving bluff bodies. Assessing parked wind-turbine loads across winds and blade orientations requires design sweeps that are costly with blade-resolved fluid–structure simulations. We couple QBlade's native aeroelastic response to fixed-body lift and drag spectra through a calibrated, finite-amplitude response law. Sectional data set the coefficients for an H-rotor vertical-axis wind turbine (H-VAWT); separate blade studies train the same law and test a response map on an excluded tip geometry. A turbulent-inflow H-VAWT example compares native QBlade, Spectral VorLap, and Hybrid VorLap under prescribed slow idling. Hybrid VorLap increases the conditional edgewise damage-equivalent load by a factor of 2.63, but flapwise bending still controls the combined longitudinal stress. Comparison with approximate normal operation shows that fatigue ranking depends on wind exposure and the assumed high-cycle material law. Extreme-wind longitudinal stress changes little at the monitored sections. The method supports selection of candidate VIV load cases for detailed analysis, but requires application-specific spectral and response data for quantitative use.

Wind Energy Science Discussions
National Laboratory of the Rockies (US), Sandia National Laboratories (US)
U.S. Department of Energy
Affordable and clean energy, Industry, innovation and infrastructure
Wind Energy Research and Development
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