During the development of the wind turbine system, blades are considered as the most critical components. The blades’ dynamic characteristics must be investigated during the design process to improve their mechanical performance. This work presents an experimental updating of a segmented wind turbine blade numerical model. For this purpose, the blade segments were manufactured using the fused deposition 3D printing technology and assembled using a threaded spar and nut. For different values of the segments assembly load, the natural frequencies and damping ratios were identified using the eigensystem realization algorithm method. The dynamic behavior of the segmented blade was examined numerically using the three-node shell element, taking into consideration the additional stiffness generated by the applied assembly load. In this study, numerical and experimental modal analysis were used to identify the first five eigenfrequencies of the blade. To update the numerical model parameters, through the identified experimental results, an iterative method was developed based on the Craig–Bampton substructure approach. Results show that the blade natural frequencies are proportional to the segments assembly load. The application of the proposed method on the segmented blade numerical model updating shows that the present method is computationally efficient.

中文翻译：

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基于子结构法的分段式风力机叶片数值模型的实验更新

在风力涡轮机系统的开发过程中，叶片被认为是最关键的部件。在设计过程中必须研究叶片的动态特性，以提高其机械性能。这项工作提出了分段风力涡轮机叶片数值模型的实验更新。为此，叶片片段是使用熔融沉积 3D 打印技术制造的，并使用带螺纹的翼梁和螺母进行组装。对于不同的管片装配载荷值，使用本征系统实现算法方法确定了固有频率和阻尼比。使用三节点壳单元对分段叶片的动态行为进行了数值检验，同时考虑了由施加的装配载荷产生的额外刚度。在这项研究中，数值和实验模态分析用于识别叶片的前五个特征频率。为了更新数值模型参数，通过确定的实验结果，基于 Craig-Bampton 子结构方法开发了一种迭代方法。结果表明，叶片固有频率与扇片组件载荷成正比。该方法在分段叶片数值模型更新中的应用表明，该方法具有计算效率。结果表明，叶片固有频率与扇片组件载荷成正比。该方法在分段叶片数值模型更新中的应用表明，该方法具有计算效率。结果表明，叶片固有频率与扇片组件载荷成正比。该方法在分段叶片数值模型更新中的应用表明，该方法具有计算效率。