Study on the nonlinear structural coupling for wind turbine blade under large deflections by using novel finite difference method
Renewable Energy, ISSN: 0960-1481, Vol: 223, Page: 120095
2024
- 1Citations
- 7Captures
- 1Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Most Recent News
Findings from North China Electric Power University Yields New Data on Wind Turbines (Study On the Nonlinear Structural Coupling for Wind Turbine Blade Under Large Deflections By Using Novel Finite Difference Method)
2024 APR 11 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- Data detailed on Energy - Wind Turbines have been
Article Description
Wind energy is one of the most promising renewable energy sources in the world. To generate more electricity, the wind turbines are getting larger and larger in recent decades (Jokar et al., 2022). With the wind turbine size growing, the length of the blade is getting slender. The large deflections of slender wind turbine blade will inevitably lead to geometric nonlinearities (Jiang et al. 2022), e.g. nonlinear coupling between torsion and deflection, which complicates the governing equations of motion. To simplify the solution of the nonlinear equations, in the current research, a novel finite-difference method was proposed to solve the nonlinear equations of static beam model for wind turbine blade under large deflections. Firstly, the governing equations of large wind turbine blade have been derived by Newtonian method, which provide more insight into the mechanism of the structure motion. Secondly, owing to its simplicity, finite-difference and Newton–Raphson method were employed to discretize and solve the proposed equations respectively. Finally, the proposed finite-difference method was successfully validated by the popular VABS-based geometric exact beam theory (GEBT) method, which has a more complicated formulation. The nonlinear structural couplings were studied by the proposed method. The results illustrate that the torsion-deflection coupling is strongly nonlinear which plays an important role in the loading and displacement of wind turbine blade under large deflections. The current research will provide guidance for the design of next-generation wind turbine blade.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0960148124001605; http://dx.doi.org/10.1016/j.renene.2024.120095; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85184512288&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0960148124001605; https://dx.doi.org/10.1016/j.renene.2024.120095
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know