Data from: Wind turbine blade shear web disbond detection using rotor blade operational sensing and data analysis

A wind turbine blade's structural dynamic response is simulated and analysed with the goal of characterizing the presence and severity of a shear web disbond. Computer models of a 5 MW offshore utility-scale wind turbine were created to develop effective algorithms for detecting such damage. Through data analysis and with the use of blade measurements, a shear web disbond was quantified according to its length. An aerodynamic sensitivity study was conducted to ensure robustness of the detection algorithms. In all analyses, the blade's flap-wise acceleration and root-pitching moment were the clearest indicators of the presence and severity of a shear web disbond. A combination of blade and non-blade measurements was formulated into a final algorithm for the detection and quantification of the disbond. The probability of detection was 100% for the optimized wind speed ranges in laminar, 30% horizontal shear and 60% horizontal shear conditions.

本研究针对风力机叶片的结构动态响应开展仿真与分析，旨在表征剪切腹板脱粘（shear web disbond）的存在性与严重程度。针对5兆瓦（MW）海上大型商用风力机构建了计算机模型，以开发用于检测此类损伤的有效算法。通过数据分析结合叶片实测数据，可依据脱粘长度对剪切腹板脱粘进行量化表征。开展了气动敏感性研究，以确保检测算法的鲁棒性。所有分析结果均表明，叶片挥舞方向加速度（flap-wise acceleration）与根部俯仰力矩（root-pitching moment）是表征剪切腹板脱粘存在性与严重程度的最清晰特征指标。将叶片与非叶片实测数据相结合，构建出用于脱粘检测与量化的最终算法。在层流、30%水平剪切以及60%水平剪切工况的优化风速区间内，检测概率分别为100%、30%与60%。