J056034 Probabilistic Fatigue Analysis of Small Wind Turbine Blade Using Aeroelastic Analysis
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- IINO Mitsumasa
- The University of Tokyo Department of Advanced Interdisciplinaiy Studies
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- TOKUYAMA Hideki
- 那須電機鉄工
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- SEGAWA Hiroshi
- 東京大学大学院工学系研究科
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- IIDA Makoto
- 東京大学先端科学技術研究センター産学連携新エネルギー研究施設
Bibliographic Information
- Other Title
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- J056034 空力弾性解析による小形風車翼の確率論的疲労評価法の検討(〔J056-03〕再生可能エネルギー(風力発電)(3))
Abstract
In this research, probabilistic fatigue load estimation by the aeroelastic modeling was carried out for a small wind turbine with lm diameter. The results were compared with the simplified load model which is a deterministic method, and quantitative evaluation of the difference between two methods was presented. An aeroelastic simulation code for 5 bladed wind turbines is used for aeroelastic modeling. This code is based on NREL's FAST and modified for 5 bladed turbines by authors. On the fatigue analysis, wind condition is set to be IEC 61400-2 Ed.2 DLC1.1 which is assumed to be equivalent condition of simplified load model. From the time series results from aeroelastic analysis, the load amplitude and cycles are counted. Then the cycles are weighted by wind speed probability distribution correspond to IEC 61400-2 Class I to IV. The result from aeroelastic modeling was similar to one from simplified load model in Class I but different in other Classes. The reason is that the fatigue load in high wind speed, which is not encompassed with simplified load model, is dominant for fatigue load with target turbine's model regardless of IEC Class. So it is important to consider probability of wind speed over all operating condition in fatigue load estimation.
Journal
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- The Proceedings of Mechanical Engineering Congress, Japan
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The Proceedings of Mechanical Engineering Congress, Japan 2013 (0), _J056034-1-_J056034-5, 2013
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390282680816412672
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- NII Article ID
- 110009935298
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- ISSN
- 24242667
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed