虚拟到真实的映射:AE缺失信号生成和CFRP板块缺陷的辅助定位方法
Kewei Li1, Hang Wang1, Lijun Zhang1
1Shandong Key Laboratory of Design and Manufacturing for High-end Offshore Oil and Gas Equipment, College of Mechenical and Electronic Engineering, China University of Petroleum (East China) ,China University of Petroleum (East China), Qingdao 266580, China; National Engineering Research Center of Marine Geophysical Prospecting and Exploration and Development Equipment, China University of Petroleum (East China), Qingdao 266580, China.
Ultrasonics
|September 24, 2025
概括
本研究引入了虚拟到真实的映射,以生成缺失的声辐射 (AE) 信号,用于碳纤维增强聚合物 (CFRP) 结构健康监测. 这种具有成本效益的方法提高了缺陷分类的准确性,提高了结构完整性的评估.
科学领域:
- 材料科学 材料科学 材料科学
- 结构健康监测 结构健康监测
- 非破坏性测试 不破坏性测试
背景情况:
- 碳纤维增强聚合物 (CFRP) 的结构健康监测 (SHM) 对安全性和寿命至关重要.
- 声波发射 (AE) 是CFRP缺陷定位的关键技术,但在检测和定位未被检测的缺陷信号方面仍然存在挑战.
- 碳复合纤维的异构性质使AE信号的传播复杂化,影响了定位的准确性和成本效益.
研究的目的:
- 开发一种具有成本效益的方法,用于在CFRP结构中产生未被检测到的AE信号.
- 用数据驱动方法提高CFRP中缺陷定位和分类的准确性.
- 验证拟议方法在不同材料系统和传感器配置中的适用性.
主要方法:
- 虚拟到真实的映射被用来根据材料特性和传感器配置生成模拟的AE信号.
- 使用自动编码模型绘制实验和模拟信号,预测缺失的波形.
- 生成的信号被集成到多层感知子模型中,用于缺陷分类和定位分析.
主要成果:
- 虚拟到真实映射方法成功生成缺失的AE波形,通过定量和定性分析验证.
- 整合生成的信号使多个缺失区域的分类准确度平均提高了21.1%,独立缺失区域的分类准确度提高了43.9%.
- 该方法在6061合金板上表现出强大的性能,并且被发现对传感器位置变化基本上不敏感.
结论:
- 拟议的虚拟到真实映射为AE数据收集提供了具有成本效益的解决方案,并增强了CFRP中的缺陷定位.
- 这种数据驱动的方法为预测和定位复合结构中缺陷提供了宝贵的见解.
- 该方法的跨材料适用性和对传感器放置的稳定性表明结构健康监测具有广泛的潜力.
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