在复合式风力轮机叶片中使用相对自然频率变化和贝叶斯概率进行损害识别
Panida Kaewniam1,2, Qingyang Wei3, Haoan Gu1
1College of Mechanics and Engineering Science, Hohai University, Nanjing 211100, China.
Materials (Basel, Switzerland)
|December 11, 2025
概括
本研究介绍了B-RNFC方法,用于风力轮机叶片的结构健康监测. 它通过将相对自然频率变化与贝叶斯概率相结合,准确地定位损伤.
科学领域:
- 工程 工程师 工程师 工程师
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
背景情况:
- 结构健康监测 (SHM) 对风力轮机叶片 (WTB) 的可靠性和效率至关重要.
- 传统的基于频率的方法与复合WTB复杂性和损害局部化作斗争.
- 自然频率是对环境变化敏感的全球指标,限制了局部损害检测.
研究的目的:
- 为复合WTBs开发一种先进的SHM方法.
- 克服传统基于频率的损坏检测的局限性.
- 使用一种新的方法,准确地定位复合WTB中的损伤.
主要方法:
- 介绍了贝叶斯的相对自然频率变化 (B-RNFC) 方法.
- 分析了与复合梁和WTBs损坏相关的自然频率变化.
- 开发了规范化的RNFC曲线,并将它们与贝叶斯概率集成为损害映射.
- 评估了B-RNFC性能,用于单次和多次损伤定位.
主要成果:
- B-RNFC 方法证明了有效的损害定位.
- 悬臂梁的有效定位范围:20-80%从固定端.
- 复合WTB的有效定位范围:从根开始的叶片长度的40-80%.
- 成功地定位了双重损伤,包括对称和中跨度场景.
结论:
- B-RNFC 方法为复合式 WTB 中的 SHM 提供了一个强大的解决方案.
- 与传统方法相比,这种方法提高了损害定位的准确性.
- B-RNFC方法有助于提高WTB的可靠性和降低维护成本.
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