期刊文献+

基于疲劳测试的叶片优化设计研究

The Blade Design Optimization Based on the Fatigue Test
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摘要 随着风电技术逐渐成熟,部件检测越来越受到业主和主机厂的重视。特别是风电叶片的设计验证,虽然检测手段多样,从材料测试到关键部件检测,但全尺寸静力测试与疲劳测试最终成为最为有效的检测手段。通过测试不仅可以验证设计的可靠性,确保叶片在20年的运行寿命中没有损伤,也可以获取局部应变等参数指导优化设计。特别是全尺寸疲劳测试[1],在为叶片批产提供依据的同时,分析测试过程中所记录的各项指标,分类归纳对比设计安全因子,得出叶片各项指标中的冗余度,针对冗余度进行优化设计,提高叶片可靠性,减少材料用量,降低成本。 As the wind power technology is gradually mature, more and more attention has been payed about the parts testing by the owners and the wind turbine manufacturer. Especially for the rotor blade design verification, there are diversity test means about components from material to the key parts. But full-size static test and fatigue test finally become the most effective way. It can not only test and verify the reliability of design through the test to make sure that the blade is no injury during the running life of 20 years but also can guide the optimal design from the test parameters, for instance the local strain. While the full-scale fatigue test, at the same time, can provide the basis to the blade batch production and also can find the weak and redundancy of the design. Than the blade failure mode was concluded to guide the design optimization and the blade reliability will be improved. The material consumption can be reduced and the cost will be reduced in the last.
出处 《机电产品开发与创新》 2015年第1期29-31,共3页 Development & Innovation of Machinery & Electrical Products
关键词 全尺寸 疲劳测试 失效模式 优化设计 full-size fatigue test failure mode the optimization design
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参考文献7

  • 1IEC 61400-23 International standard Edition 1.0, Wind turbines- Part 23:Full-scale structural testing of rotor blades, IEC, 2014.
  • 2IEC 61400-23 2001 WTG systems - Structural testing of blades, IEC, 2001.
  • 3SinomaC-3.0MW 叶片技术参数 20121122, SINOMA, 2012-11-22.
  • 4Sinoma DFatigue Test Plan WETC SGS, Document-ID: WETC- 1308-032, 2014.
  • 5Design Verification Report T4-HF59, Jacob Roosma,T4-R305b- (C25-P50), 2012.
  • 6SinomaE疲劳测试载荷要求20140103.xlsx,SINOMA,2014-01-03.
  • 7The SinomaF-004 blade records of maintenance process, Docu- ment-ID: Sinoma-2014-0402, 2014.

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