the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Reduced-Order Modelling of Nonlinear Wind Turbine Blade Vibrations in a High-Fidelity Unsteady Aeroelastic Framework
Abstract. Accurate modelling of nonlinear wind turbine blade dynamics is essential for the reliable design and operation of modern wind turbines. Wind turbine blades have complex shapes with spatially varying sectional properties, twists and curvatures. The dynamics of long, flexible blades are strongly influenced by geometric nonlinearities, centrifugal effects, and material anisotropies. Conventional linear beam models are inadequate for capturing these complexities, since they are not designed to handle large deformations and nonlinear couplings. This study presents a high-fidelity nonlinear reduced-order model (ROM) for predicting the structural dynamics of modern wind turbine blades. The ROM uses a biorthogonal modal basis derived from the intrinsic mixed formulation of geometrically exact beam theory. The structural model is coupled to a high-fidelity unsteady vortex lattice solver in a two-way fluid-structure interaction framework, improving on the traditional blade element momentum method. The proposed model was validated using numerical and experimental results from the NREL 5-MW and SNL CX-100 wind turbine blades. Benchmark tests demonstrate that the ROM successfully captures the wind turbine blade’s nonlinear frequency response to harmonic loads and dynamic response to transient loads, including extreme wind gust, wind shear, and turbulence. Among the wind load cases tested, the ROM’s maximum out-of-plane tip displacement error was 0.77 % of reference tip deflection, compared with 20.90 % for conventional linear time-invariant models. This framework has applications in wind turbine control, structural health monitoring, fatigue life studies, and digital twins.
- Preprint
(3229 KB) - Metadata XML
- BibTeX
- EndNote
Status: open (until 29 Oct 2026)
- CC1: 'Comment on wes-2026-131', J. Gordon Leishman, 05 Sep 2026 reply
-
RC1: 'Comment on wes-2026-131', Anonymous Referee #1, 06 Oct 2026
reply
The comment was uploaded in the form of a supplement: https://wes.copernicus.org/preprints/wes-2026-131/wes-2026-131-RC1-supplement.pdf
-
RC2: 'Comment on wes-2026-131', Anonymous Referee #2, 15 Oct 2026
reply
This manuscript examines the use of GEBT and a reduced order method based on GEBT for modelling wind turbine blades. The topic is relevant and interesting, but the logic of the different comparisons which are presented is rather hard to follow. It is a bit difficult to keep track of the aerodynamic and structural models which are referred to as FOM, ROM, and SHARPy - I would have appreciated a table as a reference.
The introduction is not always precise. What are "intense wind flow environments" and "intense cyclic wind loads"? Which "analytical flow field models" are relevant here? The inflow conditions are simplified in the present work. Why "floating spars or platforms"? Spars are a specific type of platform. Furthermore, it is not very clear to me how the floating effect is relevant to the present work, nor how Fig 1 supports the discussion. References for wind turbine control design are from 2018 and 2008.
The first tests consider static load and natural frequencies of the SNL CX-100 blade from 2013. While the availability of experimental results is useful, it's not clear to me to what extent this blade is a test case for the features (slenderness, complex cross-section, etc.) that the GEBT should improve. If I understand correctly, the SHARPy and FOM results should be equivalent in these cases, so they are really more of a verification of the implementation. For context, it would have been nice to include BeamDyn or similar results here as well.
The tests with the NREL 5 MW blade (which is also a rather old blade, and I wonder why this was chosen rather than i.e. the IEA 15 MW?) are used to examine first frequency response and then a few transient wind load cases. Can SHARPy also be used for the frequency response, and if so, why not include those results as well? I would also have liked to see the backbone for the ROM included for completeness.
The dynamic load cases show promising responses for the ROM, while the LTI model is shown to differ more (even before the gust occurs). It is not clear to me how the aerodynamics are modeled in the ROM and LTI cases - are these also using the UVLM? A comparison with more typical aero-elastic simulation approaches (such as BeamDyn with BEM), and a discussion of the importance of the structural vs aerodynamic model for the computational time would also be of interest.
It seems a bit of an overstatement to claim that the ROM was rigorously tested based on the considered load cases.
Citation: https://doi.org/10.5194/wes-2026-131-RC2
Viewed
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 343 | 149 | 111 | 603 | 128 | 112 |
- HTML: 343
- PDF: 149
- XML: 111
- Total: 603
- BibTeX: 128
- EndNote: 112
Viewed (geographical distribution)
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
The manuscript is technically ambitious, but in its current form it's hard to follow. The principal contribution is obscured by the way the paper interweaves the IGEBT formulation, spectral finite-element discretization, full-order structural model, modal reduction, biorthogonal basis construction, SHARPy coupling, experimental validation, numerical benchmarking, and transient aeroelastic demonstrations.
The authors should establish a clearer hierarchy of models and evidence. In particular, the manuscript frequently blurs the distinction between validating the full-order structural model and validating the reduced-order model. The CX-100 experimental comparisons primarily validate the underlying structural formulation, whereas the NREL 5-MW ROM is benchmarked mainly against SHARPy. These are different levels of evidence and should not be described interchangeably.
The terminology also contributes to the confusion. The manuscript repeatedly refers to a “high-fidelity ROM,” although the high-fidelity elements are more properly the nonlinear beam formulation and the aeroelastic reference framework. The ROM is a reduced representation of that system. The paper should be more precise about which parts are full-order, which are reduced-order, which are used as reference solutions, and which are experimentally validated.
The paper would benefit from substantial restructuring around the actual scientific question: whether a biorthogonal modal reduction of IGEBT can reproduce the nonlinear structural response of a rotating wind-turbine blade with sufficient accuracy and computational advantage for aeroelastic applications. At present, this central thread is difficult to extract from the surrounding methodology.
I recommend that the authors reorganize the manuscript so that verification, validation, model reduction, and aeroelastic application are treated as clearly distinct stages. Without such restructuring, it is difficult to assess the significance of the reported results and the true level of validation of the proposed ROM.