机译:使用声发射的静载荷测试下的风力涡轮机叶片损伤评估
Center for Safety Measurements, Korea Research Institute of Standards and Science, Daejeon, Republic of Korea,Department of Mechanical Engineering, Chungnam National University,Daejeon, Republic of Korea;
Center for Safety Measurements, Korea Research Institute of Standards and Science, 267 Gajeong-ro, Yuseong-gu, Daejeon 305-340, Republic of Korea;
Center for Energy & Material Standard, Korea Research Institute of Standards and Science, Daejeon, Republic of Korea;
Department of Mechanical Engineering, Chungnam National University,Daejeon, Republic of Korea;
Wind turbine blade; acoustic emission; nondestructive evaluation; source location; composite materials;
机译:采用声发射和机器学习加速疲劳负荷下加速疲劳负荷的复合风力涡轮机叶片的损伤模式识别
机译:使用声发射和数字图像相关技术对风轮机叶片的粘稠剂进行机械表征和损伤评估
机译:风力涡轮机叶片后缘故障评估,在静态和疲劳载荷条件下进行子组件测试
机译:来自风力涡轮机叶片的声学发射监测静态和疲劳试验
机译:开发了用于预测疲劳测试过程中的载荷和挠度的锁相风轮机叶片有限元模型。
机译:风力发电机叶片疲劳声发射数据的模式识别方法
机译:风力涡轮机叶片远程结构健康监测的基础知识 - 预备项目。附件B.风力涡轮机叶片损坏检测的传感器和无损检测方法