用声波发射和机器学习对热CFRP中的纤维断裂事件进行分类和集群

Richard Dela Amevorku1, David Amoateng-Mensah1, Manoj Rijal1

  • 1Department of Mechanical Engineering, North Carolina A & T State University, 1601 E. Market Street, Greensboro, NC 27411, USA.

PubMed
概括

机器学习准确地使用声辐射信号对碳纤维增强聚合物 (CFRP) 复合材料的损伤进行分类. 这种结构健康监测方法达到99%的准确性,可以早期检测纤维断裂等关键故障模式.

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