用SH0波在线监测来预测疲劳裂增长的颗粒过器
Zhiwen Li1, Jiuhong Jia1, Mingyuan Wang1
1Key Laboratory of Pressure Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai, China.
Ultrasonics
|June 3, 2024
概括
这项研究引入了一种新的疲劳裂增长预测方法,使用SH0波和粒子过器 (PF). 这种SH0-PF方法比压力容器完整性的传统模型提供了更好的准确性.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 非破坏性测试 不破坏性测试
背景情况:
- 疲劳裂增长是压力容器的关键故障模式,需要可靠的在线监控.
- 由于材料特性和加载条件的不确定性,现有方法面临挑战.
- 由于其非分散性和灵敏度,SH0波是裂纹监测的理想选择.
研究的目的:
- 提出和验证一种用于预测压力容器疲劳裂增长的新方法.
- 为了利用SH0波监测和颗粒过器 (PF) 提高预测准确度.
- 为了解决工业疲劳裂增长中固有的不确定性.
主要方法:
- 开发了SH0-PF预测方法,将SH0波监测与颗粒过器相结合.
- 使用信号功能通过破裂监控的损坏指数进行提取.
- 建立了基于巴黎模型和正常化的关联时刻损伤指数的状态和观察方程.
- 实验验证了使用单边痕标本的方法.
主要成果:
- 与传统的巴黎模型相比,SH0-PF方法显示出更高的预测准确度.
- 实验结果证实了拟议的SH0-PF方法的可靠性和有效性.
- 该研究成功地将SH0波特征与颗粒过器功能相结合,用于裂预测.
结论:
- SH0-PF方法为压力容器中疲劳裂增长预测提供了更准确,更可靠的方法.
- 这种技术有效地处理与疲劳裂传播相关的不确定性.
- 这些发现支持采用SH0波监测和颗粒过器,以提高压力容器的安全性和运行完整性.
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