{"title":"基于激光雷达的风力机叶片双轴疲劳试验位移测量与数据解耦方法。","authors":"Aiguo Zhou, Yikun Shang, Jinlei Shi, Yutian Zhu, Xiufeng Xu","doi":"10.1364/AO.571730","DOIUrl":null,"url":null,"abstract":"<p><p>To improve the efficiency of wind turbine blade fatigue testing, a displacement measurement method for wind turbine blades based on LiDAR is proposed, which is suitable for biaxial fatigue testing of wind turbine blades. By utilizing the geometric characteristics of retroreflective targets captured by the LiDAR, the position of target points is determined, and the displacement of these points during testing is calculated. The feasibility of this method is verified through static and dynamic experiments, with experimental results showing that the distance measurement error is controlled within 5%. This method requires low point cloud density from the LiDAR and offers advantages such as minimal environmental impact and non-contact measurement. Additionally, an optimization-based vibration parameter calculation method is proposed, which can accurately compute vibration parameters such as frequency and phase. By decoupling the data using vibration parameters, this approach provides additional data support for the fatigue testing of wind turbine blades.</p>","PeriodicalId":101299,"journal":{"name":"Applied optics","volume":"64 27","pages":"7988-7995"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LiDAR-based displacement measurement and data decoupling method for biaxial fatigue testing of wind turbine blades.\",\"authors\":\"Aiguo Zhou, Yikun Shang, Jinlei Shi, Yutian Zhu, Xiufeng Xu\",\"doi\":\"10.1364/AO.571730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To improve the efficiency of wind turbine blade fatigue testing, a displacement measurement method for wind turbine blades based on LiDAR is proposed, which is suitable for biaxial fatigue testing of wind turbine blades. By utilizing the geometric characteristics of retroreflective targets captured by the LiDAR, the position of target points is determined, and the displacement of these points during testing is calculated. The feasibility of this method is verified through static and dynamic experiments, with experimental results showing that the distance measurement error is controlled within 5%. This method requires low point cloud density from the LiDAR and offers advantages such as minimal environmental impact and non-contact measurement. Additionally, an optimization-based vibration parameter calculation method is proposed, which can accurately compute vibration parameters such as frequency and phase. By decoupling the data using vibration parameters, this approach provides additional data support for the fatigue testing of wind turbine blades.</p>\",\"PeriodicalId\":101299,\"journal\":{\"name\":\"Applied optics\",\"volume\":\"64 27\",\"pages\":\"7988-7995\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied optics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/AO.571730\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied optics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/AO.571730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LiDAR-based displacement measurement and data decoupling method for biaxial fatigue testing of wind turbine blades.
To improve the efficiency of wind turbine blade fatigue testing, a displacement measurement method for wind turbine blades based on LiDAR is proposed, which is suitable for biaxial fatigue testing of wind turbine blades. By utilizing the geometric characteristics of retroreflective targets captured by the LiDAR, the position of target points is determined, and the displacement of these points during testing is calculated. The feasibility of this method is verified through static and dynamic experiments, with experimental results showing that the distance measurement error is controlled within 5%. This method requires low point cloud density from the LiDAR and offers advantages such as minimal environmental impact and non-contact measurement. Additionally, an optimization-based vibration parameter calculation method is proposed, which can accurately compute vibration parameters such as frequency and phase. By decoupling the data using vibration parameters, this approach provides additional data support for the fatigue testing of wind turbine blades.