This paper presents the development of a multi-fidelity digital twin structural model (virtual model) of an as-built wind turbine blade. The goal is to develop and demonstrate an approach to produce an accurate and detailed model of the as-built blade for use in verifying the performance of the operating two-bladed, downwind rotor. The digital twin model development methodology, presented herein, involves a novel calibration process to integrate a wide range of information including design specifications, manufacturing information, and structural testing data (modal and static) to produce a multi-fidelity digital twin structural model: a detailed high-fidelity model (i.e., 3D finite element analysis [FEA]) and consistent beam-type models for aeroelastic simulation. A key element is that the multi-fidelity structural digital twin method follows the rotor from the stages of design, to manufacturing, then to the ground testing and field operation. The result of this comprehensive approach is an accurate multi-fidelity digital twin structural model for the geometric, structural, and structural dynamic properties of the as-built blade within a 1% match in mass properties, 3.2% in blade frequencies, and 6% in deflection. The different stages of processing this information within the methodology are discussed. The rotor examined is the SUMR-Demonstrator (SUMR-D), which was installed on the Controls Advanced Research Testbed (CART-2) wind turbine at the National Wind Technology Center. The digital twin model developed here was utilized to design controllers to safely operate SUMR-D in field tests, which are providing additional data for further evaluation and development of the multi-fidelity digital twin structural model.

中文翻译：

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亚尺度下风电机转子叶片的多保真数字孪生结构模型

本文介绍了已建成风力涡轮机叶片的多保真数字孪生结构模型（虚拟模型）的开发。目标是开发和演示一种方法来生成准确和详细的完工叶片模型，用于验证运行中的双叶片顺风转子的性能。此处介绍的数字孪生模型开发方法涉及一种新颖的校准过程，以集成广泛的信息，包括设计规范、制造信息和结构测试数据（模态和静态），以生成多保真数字孪生结构模型：详细的高保真模型（即 3D 有限元分析 [FEA]）和用于气动弹性模拟的一致梁型模型。一个关键要素是多保真结构数字孪生方法从设计阶段到制造阶段，再到地面测试和现场操作，全程跟踪转子。这种综合方法的结果是一个精确的多保真数字孪生结构模型，用于在质量属性匹配 1%、叶片频率匹配 3.2% 和 6%在偏转。讨论了在该方法中处理这些信息的不同阶段。检查的转子是 SUMR-Demonstrator (SUMR-D)，它安装在国家风能技术中心的 Controls 高级研究试验台 (CART-2) 风力涡轮机上。此处开发的数字孪生模型用于设计控制器，以在现场测试中安全操作 SUMR-D，