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Effects of defects in composite wind turbine blades – Part 1: Characterization and mechanical testing

机译:复合风力涡轮机叶片中缺陷的影响第1部分:表征和机械测试

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The Montana State University Composite Material Technologies Research Group performed a study to ascertain the effects of defects that often result from the manufacture of composite wind turbine blades. The first step in this multiyear study was to systematically quantify and enter these defects into a database before embedding similar defects into manufactured coupons. Through the Sandia National Laboratories Blade Reliability Collaborative (BRC), it was determined that key defects to investigate were fiber waves and porosity. An inspection of failed commercial-scale wind turbine blades yielded metrics that utilized specific parameters to physically characterize a defect. Methods to easily and consistently discretize, measure, and assess these defects based on the identified parameters were established to allow for statistical analysis. Data relating flaw parameters to frequencies of occurrence were analyzed and found to fit within standard distributions. Additionally, mechanical testing of coupons with flaws based on these physical characterization data was performed to understand effects of these defects. Representative blade materials and manufacturing methods were utilized and both material properties and damage progression were measured. It was observed that flaw parameters directly affected the mechanical response. While the data gathered in this first step are widely useful, it was also intended for use as a foundation for the rest of the study, to perform probabilistic analysis and comparative analysis of progressive damage models.
机译:蒙大拿州立大学复合材料技术研究小组进行了一项研究,以确定由复合材料风力涡轮机叶片制造经常引起的缺陷的影响。这项多年研究的第一步是在将类似缺陷嵌入到制造的优惠券中之前,系统地量化这些缺陷并将其输入数据库。通过桑迪亚国家实验室刀片可靠性合作组织(BRC),确定要研究的关键缺陷是纤维波和孔隙率。对失败的商业规模风力涡轮机叶片进行检查得出的度量标准利用特定参数来物理表征缺陷。建立了基于识别出的参数轻松一致地离散,测量和评估这些缺陷的方法,以进行统计分析。分析了将缺陷参数与出现频率相关的数据,发现它们符合标准分布。此外,还基于这些物理特征数据对带有缺陷的样片进行了机械测试,以了解这些缺陷的影响。利用了代表性的叶片材料和制造方法,并测量了材料性能和损坏程度。观察到缺陷参数直接影响机械响应。尽管在第一步中收集的数据广泛有用,但它也打算用作其余研究的基础,以进行概率分析和对渐进式损伤模型的比较分析。

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